史上最全的Stata外部命令一览

文摘   教育   2024-11-22 22:01   山西  

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项目介绍

史上最全的 Stata 外部命令一览,可以在线查看帮助文件。

Source: Archive of user-written Stata packages

导言

这里汇集了截至 2015年1月1日 为止的所有 Stata 外部命令。可以在线查看每个外部命令的帮助文件。

  • 对于感兴趣的命令,可以使用 findit 在 Stata 命令窗口中搜索后下载,亦可直接使用 ssc install 命令直接下载。
  • 浏览最近一个月发布的新命令,请点击  - Stata最近一月外部命令 -
  • 按 a-z 顺序浏览所有外部命令,请点击 Statistical Software Components - SSC

SSC - Stata 外部命令列表

连享会   lianxh.cn   2020/5/18

A

  • a2reg  module to estimate models with two fixed effects
  • aaniv  module to compute unbiased IV regression
  • aaplot  module for scatter plot with linear and/or quadratic fit, automatically annotated
  • abar  module to perform Arellano-Bond test for autocorrelation
  • abg  module to implement the Alpha-Beta-Gamma Method of Distributional Analysis
  • aboutreg    module providing tutorial on regression diagnostics
  • absdid  module to estimate treatment effect with Abadie semiparametric DID estimator
  • acelong  module to fit multilevel mixed-effects ACE, AE and ADE variance decomposition models
  • acplot  module to plot the autocorrelogram
  • actest  module to perform Cumby-Huizinga general test for autocorrelation in time series
  • addbefore  module to add number or character before a variable
  • addinby  module to add in data from a disk dataset using a foreign key
  • addnotes  program to add notes to the end of text files
  • addplot  module to add twoway plot objects to an existing twoway graph
  • addtex  module to display text on a graph
  • addtxt  module to add text to graphs
  • adecomp  module to estimate Shapley Decomposition by Components of a Welfare Measure
  • adfmaxur  module to calculate Leybourne (1995) ADFmax unit root test statistic along with 1, 5 and 10% finite-sample critical values and associated p-values
  • adftest  module to perform ADF and Breusch-Godfrey tests
  • adjacent  module to list adjacent values of variables "- adjksm  module to perform adjusted ""ksm"" for robust scatterplot smoothing"
  • adjmean  module to calculate variables' means adjusted for covariates
  • adjprop  module to calculate adjusted probabilities from logistic regression estimates
  • adjust  module (corrected) to compute adjusted predictions and probabilities after estimation
  • admetan  module to provide comprehensive meta-analysis
  • adodev  module to reorder ado-path for developers and other independent-minded users
  • adoedit  module to edit ado file in Stata's do-file editor
  • adolist  module to manage lists of ado packages
  • adostore  module to store and restore the current ado-path
  • adotype  module to type ado file
  • aedot  module to produce dot plot for adverse event data
  • aefdr  module to perform false discovery rate p-value adjustment for adverse event data
  • aevolcano  module to produce volcano plot for adverse event data
  • aextlogit  module to compute average elasticities for fixed effects logit
  • affiliationexposure  module to compute an affiliation exposure model using two-mode actor(row)-by-event(column) network data
  • aformat    module to condense the display format of a variable
  • aggind  module to aggregate indicators among units within a specified radius "- agrm  module to calculate van der Eijk's measure of agreement ""A"""
  • ainequal  module to compute measures of inequality
  • airnet  module to create networks from airline traffic data
  • akdensity  module to perform adaptive kernel density estimation
  • albatross  module to create albatross plots
  • alignedpairs  module to perform the aligned ranks test for matched pairs (Hodges-Lehmann)
  • alignedranks  module to perform a two-sample aligned rank-sum (Hodges-Lehmann) test with exact statistics for small samples
  • alignedsets  module to perform aligned ranks test for matched sets (Hodges-Lehmann)
  • alignmicro  module to perform alignment in microsimulation
  • allcross  modules to create variables corresponding to moment matrices
  • allpossible  module to fit all possible models with subsets of predictors
  • allsubsets  module to perform all subsets (combinatorial) meta-analysis in a set of studies
  • almon  Module to Estimate Shirley Almon Generalized Polynomial Distributed Lag Model
  • almon1  module to estimate Shirley Almon Polynomial Distributed Lag Model
  • alogit  module to estimate (In)attentive logit regression from Abaluck and Adams
  • alorenz  module to produce Pen's Parade, Lorenz and Generalised Lorenz curve
  • alphawgt  module to compute Cronbach's alpha for weighted data
  • alsmle  module to perform Beach-Mackinnon AR(1) Autoregressive Maximum Likelihood Estimation
  • amcmc    module to provide Mata functions and structures for adaptive Markov chain Monte Carlo sampling
  • anketest  module to perform diagnostic tests for spatial autocorrelation in the residuals of OLS, SAR, IV, and IV-SAR models
  • anogi  module to generate Analysis of Gini
  • anovaplot  module for plots of anova fit, including interaction plots
  • anymatch  module to perform distance matching based on any metric
  • anythingtodate  module to convert all types of date variables to Stata date variables
  • apc    module for estimating age-period-cohort effects
  • apcd  module for estimating age-period-cohort effects with detrended coefficients
  • apcgo  module to calculate age-period-cohort effects for the gap between two groups (based on a Blinder-Oaxaca decomposition), including trends for each parameter
  • apch  module for estimating age-period-cohort and hysteresis effects
  • apoverty  module to compute poverty measures
  • appendfile  module to append text files
  • archlm  module to calculate LM test for ARCH effects
  • archqq  module to generate Q-Q plot and distribution tests for ARCH models
  • ardl  module to perform autoregressive distributed lag model estimation
  • arimafit  module to calculate AIC, SIC for ARIMA model
  • armadiag  module to compute post-estimation residual diagnostics for time series
  • armaroots  module to compute roots of AR- and MA-polynomials
  • array    package to support arrays of variables
  • arrowplot  module to produce combined plot for graphing inter-group and intra-group trends
  • art    module for complex sample size calculation in randomized trials
  • ascii  module to display the ASCII character set
  • asciiplot  module to generate ASCII character map
  • ascol  module to convert frequency of stock returns or stock prices
  • asdoc  module to create high-quality tables in MS Word from Stata output
  • asgen  module to generates weighted average mean using an existing variable as weight
  • ashell  module to capture output from OS shell command
  • asl_norm  module  computing bootstrap Gaussianity tests
  • asreg  module to estimate rolling window regressions. Fama-MacBeth and by(group) regressions
  • asrol  module to generate rolling window / groups descriptive statistics
  • assertky  module to assert unique dataset keys
  • astile  module to provide a faster and byable alternative for xtile
  • astx  module to create a table of descriptive statistics and t-statistics by a grouping variable
  • atkplot    module to generate Atkinson residual normality plots
  • autofmt  module to automatically format a significant number of digits
  • autolog  module to generate dialog to create log files
  • autorename  module to automatically rename variables
  • autosum  module to produce automatic generation of a comparison table
  • avar  module to perform asymptotic covariance estimation for iid and non-iid data robust to heteroskedasticity, autocorrelation, 1- and 2-way clustering, and common cross-panel autocorrelated disturbances
  • avciplot  module to produce added-variable plot with confidence intervals
  • avg_effect  module to calculate mean (standardized) effect size across multiple outcomes
  • avicplot    module to produce added-variable plot with confidence intervals
  • avplot2  modules for added variable plots
  • avplot3  module to generate partial regression plots for subsamples
  • avplots4  module to graph added-variable plots for specified regressors in a single image

B

  • b1x2  module to account for changes when X2 is added to a base model with X1
  • babibplot  module to plot two graph types which are rooted in Bland-Altman plots using journal and paper percentiles
  • backrasch  module to implement a backward procedure with a Rasch model
  • backup  module to make daily backup of important files (Windows only)
  • bacondecomp  module to perform a Bacon decomposition of difference-in-differences estimation
  • balancetable  module to build a balance table and print it in a LaTeX file or an Excel file
  • bandplot  module to plot summary statistics of responses for bands of predictors
  • baplot  module to produce Bland-Altman plots
  • barplot  module to plot varlist against xvar
  • barplot2  module to produce bar plot with optional error bars
  • basetable  module to compare a set of risk factors or effects with respect to a categorical variable
  • batcher  module to parallelise tasks
  • batplot  module to produce Bland-Altman plots accounting for trend
  • bayerhanck  module to compute test for non-cointegration
  • bayesmixedlogit  module to perform Bayesian estimation of mixed logit models
  • bayesmixedlogitwtp  module for Bayesian estimation of mixed logit model in willingness-to-pay (WTP) space
  • bayesmlogit  module to perform Bayesian estimation of mixed logit models
  • bcii  module to to estimate the number needed to treat (NNT) and confidence intervals for patients improving, or ‘benefiting’ (either improvements gained or deteriorations prevented), in a randomised controlled trial
  • bcoeff  module to save regression coefficients to new variable
  • bcoeffs  module to save regression coefficients to new variable
  • bcss  module to create graphs to show how baseline data (prospective or retrospective) affect sample size for a cluster randomised trial
  • bcstats  module to analyze back check (field audit) data and compare it to the original survey data
  • bctobit  module to produce a test of the tobit specification
  • bcuse  module to access instructional datasets on Boston College server
  • bdiff  module to compute Bootstrap and Permutation tests for difference in coefficients between two groups
  • beamplot  module to draw horizontal dotplots using beams
  • benford  module to test Benford's Law on a variable
  • betacoef  module to calculate beta coefficients from regression
  • betafit  module to fit a two-parameter beta distribution
  • betaprior  module to calculate the parameters of a Beta distribution given the mean and variance
  • betterbar  module to produce bar graphs with optional standard error bars and cross-group comparisons
  • bfmcorr  module for correcting surveys using tax data
  • bgshade  module to add background shading to twoway plots using either dummy variable(s) denoting shaded areas and/or precoded NBER recessions
  • bgtest  module to calculate Breusch-Godfrey test for serial correlation
  • bhatt  module to compute Bhattacharyya Coefficient and Bhattacharyya Distance statistics of distribution overlap
  • biasepi  module to perform simple bias analysis, multidimensional bias analysis, and multiple bias modeling
  • bibrep  module to produce a bibliometric report on a single senior researcher
  • bic  module to evaluate the statistical significance of variables in a model
  • bicdrop1  module to estimate the probability a model is more likely without each explanatory variable
  • bidensity  module to produce and graph bivariate density estimates
  • bihist  module to produce bihistograms
  • bineq  module to analyze multidimensional inequality in two dimensions of wellbeing
  • binscatter  module to generate binned scatterplots
  • bioprobit  module for bivariate ordered probit regression
  • biplot  module to generate biplots
  • biplotvlab  module to produce biplot with variable labels
  • bipolate  module to perform bivariate interpolation and smooth surface fitting for values given at irregularly distributed points
  • birthsim  module to simulate completed fertility and birth intervals
  • bitobit  module to perform bivariate Tobit regression
  • bking  module to implement Baxter-King filter for timeseries data
  • bkrosenblatt  module for Blum, Kiefer and Rosenblatt test of bivariate independence
  • blinding  module to compute blinding indexes
  • blindschemes  module to provide graph schemes sensitive to color vision deficiency
  • blist  module to list values of variables in as small a space as possible
  • blogit2    module to produce grouped data logit with support for in
  • blp  module to estimate Berry Levinsohn Pakes random coefficients logit estimator
  • bme    module to compute Bounded midpoint estimator
  • bmi  module to compute Body Mass Index
  • bmjcip  module to format confidence intervals and P-values for medical journals
  • bmp2dta  module to convert bitmap files to Stata datasets
  • bnormpdf  module to calculate the bivariate normal density
  • boost  module to perform boosted regression
  • boottest  module to provide fast execution of the wild bootstrap with null imposed
  • boxpanel  module to produce box plots for panel data
  • boxtid  module to fit Box-Tidwell and exponential regression models
  • bpagan  module to perform Breusch-Pagan test for heteroskedasticity
  • bpass  module to compute band pass filter for time series data
  • bpmedian  module to compute Bonett-Price confidence intervals for medians and their contrasts
  • brain  module to provide neural network
  • brewscheme  module for generating customized graph scheme files
  • brglm  module to perform bias-reduced estimation of binary response models
  • brmunid  module to standardize geocodes for Brazilian municipalities
  • bronch  module to describe bronchiolitis severity
  • bsens  module to compute Sensitivity metric using McNemar's test
  • bsopm  module to compute Black-Scholes European Option Pricing Model
  • bspline  modules to compute B-splines parameterized by their values at reference points
  • btobit    module to produce a test of the tobit specification
  • buckley  module to implement Buckley-James method for analysing censored data
  • bugsdat  module to convert a Stata datafile into the S-plus format used in Winbugs
  • bugwrite  module to write data from Stata into a format compatible with WinBUGS
  • bundle  module to bundle image files in a web page using base64 encoding
  • butterworth  module to implement Butterworth square-wave highpass filter for timeseries data
  • byhist  module to produce interlaced histograms
  • bynote  module to Create a note with a user-specified format for use with the by option
  • bys  module to automatically sort on the bylist (version 5)
  • bystore  module to repeat estimation commands and store estimates
  • byvar  module to repeat a command by variable

C

  • cal  module to generate calendar
  • calibest  module to estimate proportions and means after survey data have been calibrated to population totals
  • calibr    module for inverse regression and calibration
  • calibrate  module to calibrate survey datasets to population totals
  • calinski  module to compute Calinski-Harabasz cluster stopping index from distance matrix
  • calipmatch  module for caliper matching without replacement
  • callsado  module to find (user-written) ado-files called by (a)do-file
  • canon    module (corrected) to compute canonical correlations
  • capass  module to wrap Stata's assert command, throws error messages
  • carryforward  module to carry forward previous observations
  • cart  module to perform Classification And Regression Tree analysis
  • casefat  module for estimating the case fatality ratio of a new infectious disease
  • catdev    modules for interpretation of categorical dependent variable models
  • catenate  module to concatenate variables into string variable
  • caterpillar  module to generate confidence intervals, Bonferroni-corrected confidence intervals, and null distribution
  • catgraph  module to plotting means of a variable by category
  • catplot  module for plots of frequencies, fractions or percents of categorical data
  • cb2html  module to write a codebook to an HTML file
  • cbarplot  module for centred bar plots of absolute or relative frequencies
  • ccmatch  module to match cases and controls using specified  variables
  • ccmpre  module to compute PRE Measures for Cultural Consensus Models
  • cctable  module to calculate summary table for case-control study
  • ccweight  module to generate inverse sampling probability weights
  • cddens  module to estimate a Density under Measurement Error using Auxiliary Information
  • cdfplot  module to plot a cumulative distribution function
  • cdfquantreg  module for estimating generalized linear models for doubly-bounded random variables with cdf-quantile distributions
  • cdo  module to get an update when the dofile stalls
  • cdout  module to display the current working directory
  • cdreg  module to estimate Linear Regression under Measurement Error using Auxiliary Information
  • cedesign  module to find the optimal flexible two stage single-arm binary outcome design
  • cem  module to perform Coarsened Exact Matching
  • cenpois  module to estimate censored maximum likelihood Poisson regression models
  • censornb  module to estimate censored negative binomial regression as survival model
  • censusapi  module to download Census data through the Census API
  • centcalc  module to calculate distribution-based centiles
  • center  module to center (or standardize) variables
  • centpow  module to calculate centrality and power indices for each node in a network.
  • centroid  module to calculate centroids
  • cepois  module to estimate censored maximum likelihood Poisson regression models
  • ceq  module to carry out Commitment to Equity (CEQ) fiscal incidence analysis
  • cf2  module to compare two datasets
  • cf3  module to compare two datasets
  • cfby  module to compare datasets and produce discrepancy rates
  • cfitzrw  module to implement Christiano-Fitzgerald Random Walk band pass filter for timeseries data
  • cflpois  module to calculate confidence limits for rates based on Poisson outcome
  • cfout  module to compare two datasets, saving a list of differences
  • cfvars  module to compare variable name lists in two data sets
  • cgroup  module to group contiguous observations with identical values of a varlist
  • chaid  module to conduct chi-square automated interaction detection
  • chaidforest  module to conduct random forest ensemble classification based on chi-square automated interaction detection (CHAID) as base learner
  • changemean  module to compute Income and Inequality Contribution on Poverty Variation
  • chaos  module to iterate a logistic difference equation
  • chardef  module to assign values to a characteristic of a list of variables
  • charlist  module to list characters present in string variable
  • charlson  module to calculate Charlson index of comorbidity
  • charon  module to redistribute deaths by ill-defined causes and garbage codes
  • chartab  module to tabulate character frequency counts
  • charutil    module of utilities for working with characteristics
  • checkfor2  module to check whether a variable exists or not in a dataset
  • checkipaddresses  module to detect Fraud in Online Surveys by Tracing and Scoring IP Addresses
  • checkreg3  module to check identification status of simultaneous equations system
  • checkrob  module to perform robustness check of alternative specifications
  • checkvar  module to check the values of a created variable
  • chewfile  module to chew and digest ASCII file down to size
  • china_map    module to provide map of China's provinces
  • china_spatdwm    module to provide spatial distance matrices for Chinese provinces and cities
  • chinafin  module to retrieve Chinese listed firms' financial data
  • chinagcode  module to geocode Chinese addresses
  • chiplot  module to produce graphical assessment plot for dependence
  • chm  module to copy hard missings
  • choi_lr_test  module to perform Choi's likelihood ratio test
  • chowreg  module to compute Structural Change Regressions and Chow Test
  • chunky  module to chunk a large text file into smaller parts
  • chunky8  module to chunk a large text file into smaller parts (version 8)
  • ci2  module to compute confidence intervals for correlations
  • ci_marg_mu  module to produce simulation-based confidence intervals after gllapred
  • cibar  module to plot bar graphs and confidence intervals over groups
  • cibplot  module for bar-on-bar plots of confidence intervals
  • cic  module to implement the Athey and Imbens (2006) Changes-in-Changes model
  • cid  module to calculate confidence intervals for means or differences
  • ciform  module to format confidence interval for tables in documents
  • cifunction  module for computing and graphically displaying all possible confidence intervals around a point estimate
  • cihplot  module to show horizontally labelled plots showing confidence intervals
  • cij  module for binomial confidence intervals for proportions using Jeffreys prior
  • ciplot  module for plots of confidence intervals
  • cipolate  module for cubic interpolation
  • circstat    modules to calculate circular statistics
  • circular  module for circular statistics
  • cisd  module to compute confidence intervals for standard deviations
  • cistat  module to produce confidence intervals in matrix form
  • civplot  module to plot confidence intervals vertically
  • ciw  module for binomial confidence intervals for proportions using Wilson scores
  • ciwidth_proportions_mc  module to calculate precision and power for a CI-based comparison of two independent proportions (RD, RR, or OR)
  • ckvar  module to allow error checking routines to easily be defined and attached directly to variables
  • classplot  module to plot predicted probability and empirical values after a binary response model
  • classtabi  module for generating classification statistics and table using summarized data
  • clean_class  module to clean classroom variables
  • clean_fname    module to clean firstname variables
  • clean_lname    module to clean lastname variables
  • clean_name  module to clean name variables
  • cleanchars  module to replace specific characters or strings in variable names and/or variable labels and/or string variable values and/or value label names and levels with stated characters/strings (using 1-1 or m-1 match)
  • cleanlog  module to clean log files
  • clemao_io    module to perform unit root tests with one or two structural breaks
  • clogithet  module to estimate heteroscedastic conditional logit model
  • clorenz  module to estimate Lorenz and concentration curves
  • clrbound  module to perform estimation and inference on intersection bounds
  • clstop_lbt  module to add stopping rule in cluster analysis
  • cltest    modules for performing cluster-adjusted chi-square and t-tests
  • clump  module to compute permutation test approach to assessing genetic associations with case/control status
  • cluster  module to perform nonhierarchical k-means (or k-medoids) cluster analysis
  • cluster2  module to perform power analysis for two-level cluster randomized trials
  • cluster3  module to perform power analysis for up to three-level cluster randomized trial
  • clusterbs  module to perform a pairs symmetric cluster bootstrap-t procedure
  • clustergram  module to produce graph for visualizing hierarchical and non-hierarchical cluster analyses
  • clustpop  module to estimate population cluster group assignments
  • clustse  module to estimate the statistical significance of parameters when the data is clustered with a small number of clusters
  • clustsens  module to perform sensitivity analysis for cluster commands
  • clv  module to implement a clustering of variables around latent components
  • cm2in  module to provide conversion between inch/cm and others
  • cmatch  module to tabulate matched pairs in 1:1 case control study by exposure status
  • cmaxuse  module to access Cmax instructional datasets
  • cme  program to estimate generalized linear models with covariate measurement error
  • cmitest    module to implement testing and inference methods for conditional moment inequalities/equalities models
  • cmogram  module to plot histogram-style conditional mean or median graphs
  • cmp  module to implement conditional (recursive) mixed process estimator
  • cnar  module to retrieve Chinese listed firms' financial data
  • cnbreg  module to estimate negative binomial regression - canonical parameterization
  • cndnmb3    module to calculate condition number of regressor matrix
  • cngcode  module to geocode Chinese addresses
  • cnindex  module to download historical stock quotations from Chinese market
  • cnintraday  module to Download intraday stock quotations for a list of stock codes in a given date from SinaFinance
  • cnmapsearch  module to extract the specified information by keyword in a certain geographic range
  • cnormp  module to evaluate censored normal distribution
  • cns  module to compute Consensus Measure for Ordinal Scales
  • cnsrsig  module to evaluate validity of restrictions on a regression
  • cnstock  module to download stock names and codes for Chinese listed companies
  • cntop10  module to download information of top 10 shareholders for a list of stock codes from HeXun
  • cntrade  module to retrieve Chinese stock market quotations from NetEase
  • cntraveltime  module to extract the time needed for traveling between two locations from Baidu Map
  • cochran  module to test for equality of proportions in matched samples (Cochran's Q)
  • codci  module to calculate Bonett-Seier's Confidence Interval for the COD
  • codebook2  module to produce a codebook describing a data file
  • codebook_ripper  module to  convert metadata managed in a spreadsheet into do files with renaming, notes as well as variable and value labelling
  • codebookout  module to save codebook in MS excel format
  • coefplot  module to plot regression coefficients and other results
  • cohend  module to compute Cohen's d
  • coldiag  module to perform BWK regression collinearity diagnostics
  • coldiag2  module to evaluate collinearity in linear regression
  • colelms  module to calculate Cole's LMS values for growth data
  • collapse2  module to extend the collapse command
  • collapseunique  module to reduce data to unique observations based on specified key variables
  • colorscatter  module to draw scatter plots with marker colors varying by a third variable.
  • colrspace  module providing a class-based color management system in Mata
  • combinatorics  module to evaluate the performance of all possible 2^n models generated with a given set of n possible explanatory variables
  • combine  module to combine n, mean, and SD from two groups according to the Cochrane-recommended formula for meta-analyses
  • combineplot  module to combine similar univariate or bivariate plots for different variables
  • combival  module to combine levels of a categorical variable over observation groups
  • combomarginsplot  module to combine the saved results from multiple calls to margins into one marginsplot
  • complexity  module to compute complexity indexes from comparative advantage tables
  • complogit  module to compare logit coefficients across groups
  • comtrade  module to download trade data from UN Comtrade using jsonio and parse the output in a user friendly format
  • concindc  module to calculate concentration index with both individual and grouped data
  • concindex    module to calculate measures of the concentration index
  • concord  module for concordance correlation
  • concordance  module to harmonize classification codes
  • conddens  module to estimate a conditional density to correct for measurement error and missing values
  • condisc  module to perform convergent and discriminant validity assessment in CFA
  • confa  module to perform confirmatory factor analysis modeling
  • confall  module to plot and display estimates to assess confounding
  • confirmdir  module to confirm if a directory exists
  • confnd  module to plot and display estimates to assess confounding
  • confsvy  module to assess confounding effects in survey studies
  • conindex  module to perform estimation of concentration indices
  • contour  module to draw contour plots
  • contrast  module to calculate contrasts between factor levels
  • convert_top_lines  module to handle leading lines of text file
  • copycode  module to produce modular self-written ado files
  • copydesc  module to copy description of variable
  • coranal  module to perform simple correspondence analysis
  • corr2docx  module to report Pearson & Spearman correlation coefficients to formatted table in DOCX file
  • corr_svy  module to compute correlation tables for survey data
  • corrtab  module to display correlation coefficients in a formatted tabular output
  • corrtable  module to show correlation matrix as graphical table
  • corrtex  module to generate correlation tables formatted in LaTeX
  • corsp  module to display combined Pearson and Spearman correlation matrix
  • cortesti  module to test equality of two correlation coefficients
  • cospectdens  module to compute cross spectra
  • couliari  module to implement Corbae-Ouliaris frequency domain filter to time series data
  • countmatch  module to count matching values for one variable in another
  • covbal  module for producing covariate balance statistics
  • cpcorr  module for correlations for each row vs each column variable
  • cpigen  module to add US CPI series to current dataset
  • cpiget  module to construct an annual CPI series based on a user-specified fiscal-year time span
  • cpoisson  module to estimate censored Poisson regression
  • cpoissone  module to estimate censored Poisson regression (econometric parameterization)
  • cpr  module producing results for all possible combinations of arguments
  • cprdcribs  module providing template do-files for inputting CPRD datasets into Stata
  • cprdenttype  module to convert CPRD entity string data of any enttype to numeric
  • cprdentutil  module to convert CPRD entity data variables to numeric variables
  • cprdhesaeutil  module to input CPRD HES A&E linkage datasets into Stata
  • cprdhesoputil  module to input CPRD HES/OP linkage datasets into Stata
  • cprdhesutil  module for inputting HES-linkage datasets into Stata
  • cprdlinkutil  module for inputting CPRD linkage-source datasets into Stata
  • cprdlsoautil  module to input CPRD LSOA-linkage datasets into Stata
  • cprdonsutil  module to input CPRD ONS-linkage datasets into Stata
  • cprdutil  module for inputting CPRD datasets into Stata
  • cpredict  module to produce conditional predictions
  • cprplot2  module to graph component-plus-residual plots for transformed regressors
  • cprplots  module to graph (augmented) component-plus-residual plots in a single image
  • cpyxplot  module to produce scatter plots for each y vs each x variable
  • cqiv  module to perform censored quantile instrumental variables regression
  • cquad    module to perform conditional maximum likelihood estimation of quadratic exponential models
  • cquantile  module to generate corresponding quantiles
  • crater  module to calculate computer scorer vs. human rater agreement statistics
  • creplace  module to exchange values cyclically between variables
  • crm  module to implement the continual reassessment model
  • crossfold  module to perform k-fold cross-validation
  • crossplot  module for scatter (or other twoway) plots for each y vs each x variable
  • crtest  module to perform Cramer-Ridder Test for pooling states in a Multinomial logit
  • crtrees  module to compute Classification and Regression Trees algorithms
  • csipolate  module to perform cubic spline interpolation
  • csjl  module to extend cs command for exposures with more than two categories
  • cstable  module to calculate summary table for cohort study
  • csti  module that modifies csi command in order to use total numbers rather than individual cell counts
  • csvconvert  module to append multiple csv files
  • cta  module for conducting Classification Tree Analysis
  • ctabstat  module to display table of summary statistics
  • ctreatreg  module for estimating dose-response models under exogenous and endogenous treatment
  • cub  module to estimate ordinal outcome model estimated by a mixture of a uniform and a shifted binomial
  • cuentacot  module for Contributions Counting
  • cureregr  module to estimate parametric cure regression
  • cureregr8  module to estimate parametric cure regression (version 8.2)
  • curvefit  module to produces curve estimation regression statistics and related plots between two variables for alternative curve estimation regression models
  • cusum6  module to compute cusum, cusum^2 stability tests
  • cutpt  module for empirical estimation of cutpoint for a diagnostic test
  • cv  module to compute coefficient of variation after regress
  • cv2  module to calculate the coefficient of variation for variables
  • cv_regress  module to estimate the leave-one-out error for linear regression models
  • cvauroc  module to compute Cross-validated Area Under the Curve for ROC Analysis after Predictive Modelling for Binary Outcomes
  • cvcrand  module for efficient design and analysis of Cluster Randomized Trials
  • cvxhull  module to compute and plot convex hulls of bivariate data
  • cycleplot  module for cycle plot (month plot or seasonal subseries plot)

D

  • d3network  module to create network visualizations using D3.js to view in browser
  • dag  module to provide utilities for directed acyclic graphs
  • dagfit  module to fit a Generalized Beta (Type 2) distribution to grouped data via ML
  • dagumfit  module to fit a Dagum distribution by maximum likelihood
  • dash  module to score Disabilities of the Arm, Shoulder and Hand
  • dashgph  module to construct dashed lines in scatterplots
  • dashln  module to add dashed lines to graphs
  • datacheck  module to perform data checks and produce informative output
  • dataex  module to generate a properly formatted data example for Statalist
  • dataframe    module to store/restore multiple Stata datasets to/from memory
  • datanet  module to facilitate dataset organization for network analysis purposes
  • dataout  module to export a dataset or tab-delimited file into various formats
  • dataplink  module to import data from plink
  • datelist  module to to create ascending numeric lists of dates
  • datesum  module to display summary statistics for date variables
  • datmat  module to multiply variables via matrix multiplication
  • dbmscopybatch  module to produce a batch file for DBMS/Copy
  • dbnomics  module for DB.nomics, the world's economic database
  • dcreate  module to create efficient designs for discrete choice experiments
  • ddf2dct  module to facilitate infiling US Government data distributed with a DDF
  • deci  module to perform Variable Base conversion
  • decomp  module to compute decompositions of earnings gaps
  • decompose  module to compute decompositions of wage differentials
  • delta  module  to compute the Delta index of scale discrimination
  • demotivate  module to remind users of the harsh reality of econometric & statistical practice
  • denton  module to interpolate a flow or stock series from low-frequency totals via proportional Denton method
  • dep4asm  module to create [in]dependent variable for alternative-specific models
  • depthplot  module to plot one or more variables with depth as vertical axis
  • des2  module to describe current dataset with clickable output
  • descgen  module to add Stata dataset attribute variables to a xdir resultsset
  • desclong  module to create and save a dataset holding variable information while including long variable labels
  • descogini  module  to perform Gini decomposition by income source
  • descsave  module to export data set and machine-readable codebook
  • designplot  module to produce a graphical summary of response given one or more factors
  • desma    module to design and simulate (adaptive) multi-arm clinical trials
  • desmat  module to generate interactions and contrasts
  • detect  module to compute the DETECT, Iss and R indexes to test a partition of items
  • devcon  module to apply the deviation contrast transform to estimation results
  • devnplot  module for deviation plots
  • devr2  module to compute Cameron and Windmeijer's deviance based R-squared measure
  • dfao  module to perform Dickey-Fuller unit root test in the presence of additive outliers
  • dfgls  module to compute Dickey-Fuller/GLS unit root test
  • dfl  module to estimate DiNardo, Fortin and Lemieux Counterfactual Kernel Density
  • dfsummary  module to compute the (Augmented) Dickey-Fuller unit-root test and reports a summary table for different lags
  • dftol  module to compute distribution-free tolerance intervals
  • diagram  module to analyze executed ado programs and produce a dynamic profile diagram
  • diagreg  module to compute Model Selection Diagnostic Criteria
  • diagreg2  module to compute 2SLS-IV ModeL Selection Diagnostic Criteria
  • diagt  module to report summary statistics for diagnostic tests compared to true disease status
  • diagtest  module to report summary statistics for diagnostic test
  • did_multiplegt  module to estimate sharp Difference-in-Difference designs with multiple groups and periods
  • didq  module to compute treatment effects under alternative Parallel-q assumptions
  • difd  module to evaluate test items for differential item functioning (DIF)
  • difdetect  module to detect and adjust for differential item functioning (DIF)
  • diff  module to perform Differences in Differences estimation
  • diffpi  module to calculate difference expressed as a percentage
  • difwithpar  module for detection of and adjustment for differential item functioning (DIF)
  • digdis  module to analyze the distribution of digits
  • digits    module to examine digit preferences in numeric variables
  • diplot  module to draw double interval plot
  • diptest  module to compute dip statistic to test for unimodality
  • directma  module to conducts multiple pair-wise meta-analysis (head-to-head comparisons) and export the pooled results to Excel
  • dirifit  module to fit a Dirichlet distribution
  • dirlist  module to retrieve directory information
  • dirtools  modules to manage files in the working directory
  • discrepancy  module to implement a pseudo-ANOVA method for partitions of pairwise distance matrices
  • disjoint  module to generate end variable demarcating disjoint spells
  • dissim  module to calculate dissimilarity index
  • distan  module to generate similarity measures
  • distinct  module to display distinct values of variables
  • distmatch  module to perform distance matching based on latitudes and longitudes
  • distplot  module to generate distribution function plot
  • distrate  module to compute direct standardized rates with improved confidence interval
  • divcat  module to calculate five measures of diversity for multiple categories
  • dlagif  Module to Estimate Irving Fisher Arithmetic Distributed Lag Model
  • dldq    module to compute treatment effects under alternative Parallel-q assumptions
  • dlist  module to list with variable labels
  • dlogit2    modules to compute marginal effects for logit, probit, and mlogit
  • dmariano  module to calculate Diebold-Mariano comparison of forecast accuracy
  • dmerge  module to merge datasets using a modification of Stata's merge
  • dmexogxt  module to test consistency of OLS vs XT-IV estimates
  • dmout  module to create difference-in-means tables
  • do2screen  module to display do-files in result window
  • dolog  modules to execute commands from a file with logging
  • dologx  modules to execute commands from a file with logging
  • domdiag  module to construct dominance diagrams
  • domin  module to conduct dominance analysis
  • domme  module to conduct dominance analysis with multiple equation models
  • doparser  module to look for dta-files used in do-files
  • doseresponse  module to estimate dose-response function through adjustment for the generalized propensity score
  • doseresponse2  module to estimate generalized propensity score
  • dotemplate  module to creates templates for do-files
  • dotex  module to generate TeX log from do-file
  • doub2flt  module to change storage type of real variable
  • doubleb  module to compute Contingent Valuation using Double-Bounded Dichotomous Choice
  • doubletofloat  module to recast variables from double to float storage type
  • doubmass  module to draw double mass plot
  • dpplot  module for density probability plots
  • dpredict  module to produce dynamic forecasts  for ARIMA(p,s,q) models
  • dqd  module to compute treatment effects under alternative Parallel-q assumptions
  • drarea  module to overlap two range area plots
  • drcate  module to estimate and plot conditional average treatment effect functions with uniform confidence bands using a doubly robust method
  • drdecomp  module to estimate  Shapley value of growth and distribution components of changes in poverty indicators
  • drm  module to fit Sobel's Diagonal Reference Model (DRM)
  • drmeta  module for dose-response meta-analysis
  • drmmws  module to perform doubly-robust marginal mean weighting through stratification
  • ds2  v6 module to describe variables in memory
  • ds3  module to describe variables in memory
  • ds5  module to describe variables in memory
  • dsconcat  module to concatenate a list of Stata data files into memory
  • dsearch  module to find variables with given variable label
  • dseg  module to compute decomposable multigroup segregation indexes
  • dsginideco  module to compute decomposition of inequality change into pro-poor growth and mobility components
  • dsweight  module to generate direct standardization weights
  • dta2ddi  module to convert Stata data to DDI standards
  • dta2html  module to generate HTML code to display a Stata dataset on the web
  • dta2kml  module to output a KML file from selected datapoints in a Stata dataset
  • dta2md  module to convert Stata system file to metadata
  • dta2sav  module to export in SPSS format
  • dtalink  module to implement probabilistic record linkage
  • dtanotes  module to add metadata as dataset notes
  • dtapaper  module to create an HTML datapaper
  • dtastamp  module to store current date and time in dataset characteristics
  • dthaz  module to compute discrete-time hazard and survival probability estimates
  • dtobit2  module to estimate a tobit model with marginal effects at observed censoring rate
  • dudahart  module to calculate and graph Duda-Hart cluster stopping indices from distance matrix
  • dummies  function to create families of dummy variables
  • dummies2  module to create indicator variables from categorical variable and vice versa
  • dummieslab  module to convert categorical variable to dummy variables using label names
  • duncan  module to calculate dissimilarity index
  • dups  module to identify and optionally remove duplicate observations
  • durbinh  module to calculate Durbin's h test for serial correlation
  • dyadid  module to perform Dyad ID matching
  • dyads  module to transform observations into dyads
  • dynardl  module to dynamically simulate autoregressive distributed lag (ARDL) models
  • dynpandoc  module creating dynamic documents using dynamic tags and pandoc
  • dynsimpie  module to examine dynamic compositional dependent variables
  • dynsimple    module to examine dynamic compositional dependent variables  

由于篇幅限制,这里只列举部分链接,完整列表点击底部【阅读原文】  


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