Statistical Software Components

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CAUSALDATA: Stata module providing datasets used in causal analysis: Nick Huntington-Klein
CB2HTML: Stata module to write a codebook to an HTML file: Phil Bardsley
CBARPLOT: Stata module for centred bar plots of absolute or relative frequencies: Nicholas Cox
CC_XD_DIDTEXTBOOK: Stata module to provide do-files and datafiles for textbook: Clément de Chaisemartin and Xavier D'Haultfoeuille
CCMATCH: Stata module to match cases and controls using specified variables: Daniel Cook
CCMPRE: Stata module to compute PRE Measures for Cultural Consensus Models: Mike Lacy
CCTABLE: Stata module to calculate summary table for case-control study: Gilles Desve and Peter Makary
CCV: Stata module to implement the causal cluster variance estimator: Daniel Pailañir and Damian Clarke
CCWEIGHT: Stata module to generate inverse sampling probability weights: Roger Newson
CDDENS: Stata module to estimate a Density under Measurement Error using Auxiliary Information: Nikolas Mittag
CDECOMPOSE: Stata module to estimate canonical permanent-transitory state space models: Yingyao Hu, Robert Moffitt and Yuya Sasaki
CDFPLOT: Stata module to plot a cumulative distribution function: Adrian Mander
CDFQUANTREG01: Stata module for estimating generalized linear models for doubly-bounded random variables with finite-tailed cdf-quantile distributions: Michael Smithson
CDFQUANTREG: Stata module for estimating generalized linear models for doubly-bounded random variables with cdf-quantile distributions: Michael Smithson
CDIST: Stata module for counterfactual distribution estimation and decomposition of group differences: Ben Jann
CDO: Stata module to get an update when the dofile stalls: Jesse Wursten
CDREG: Stata module to estimate Linear Regression under Measurement Error using Auxiliary Information: Nikolas Mittag
CEDESIGN: Stata module to find the optimal flexible two stage single-arm binary outcome design: Adrian Mander
CEM: Stata module to perform Coarsened Exact Matching: Matthew Blackwell, Stefano Iacus, Gary King and Giuseppe Porro
CEMIMIX: Stata module to perform reference-based multiple imputation of cost-effectiveness data in clinical trials: Baptiste Leurent and Suzie Cro
CENSORNB: Stata module to estimate censored negative binomial regression as survival model: Joseph Hilbe
CENSUSAPI: Stata module to download Census data through the Census API: Jesse Wursten
CENTCALC: Stata module to calculate distribution-based centiles: Patrick Royston and Eileen Wright
CENTER: Stata module to center (or standardize) variables: Ben Jann
CENTILE2: Stata module to enhance centile command and provide additional definitions for computing sample quantiles: Ariel Linden
CENTPOW: Stata module to calculate centrality and power indices for each node in a network: Z. P. Neal
CENTROID: Stata module to calculate centroids: Dean Judson
CEQ: Stata module to carry out Commitment to Equity (CEQ) fiscal incidence analysis: Sean Higgins, Rodrigo Aranda and Ruoxi Li
CF2: Stata module to compare two datasets: Thomas Steichen
CF3: Stata module to compare two datasets: Thomas Steichen
CFBINOUT: Stata module to perform Control Function Estimation of Binary Outcome Models: Elena Yurkevich and Harald Tauchmann
CFBY: Stata module to compare datasets and produce discrepancy rates: Ryan Knight
CFEAT: RATS procedure to identify turning points and cyclical phases of a series: Tom Doan
CFFILTER: RATS procedure to perform band pass filter using Christiano-Fitzgerald method: Tom Doan
CFITZRW: Stata module to implement Christiano-Fitzgerald Random Walk band pass filter for timeseries data: Christopher Baum and Martha Lopez
CFLPOIS: Stata module to calculate confidence limits for rates based on Poisson outcome: Jens Lauritsen
CFOUT: Stata module to compare two datasets, saving a list of differences: Ryan Knight and Matthew White
CFVARS: Stata module to compare variable name lists in two data sets: Nicholas Cox
CGROUP: Stata module to group contiguous observations with identical values of a varlist: Roger Newson
CGSSM: Stata module implementing the contrasting groups' standard setting method: Niels Henrik Bruun
CHAID: Stata module to conduct chi-square automated interaction detection: Joseph Luchman
CHAIDFOREST: Stata module to conduct random forest ensemble classification based on chi-square automated interaction detection (CHAID) as base learner: Joseph Luchman
CHANGEMEAN: Stata module to compute Income and Inequality Contribution on Poverty Variation: João Pedro Azevedo and Samuel Franco
CHAOS: Stata module to iterate a logistic difference equation: Nicholas Cox
CHAOTICMAPS: MATLAB function to generate chaotic 1D and 2D discrete maps: Shapour Mohammadi
CHARDEF: Stata module to assign values to a characteristic of a list of variables: Roger Newson
CHARLIST: Stata module to list characters present in string variable: Nicholas Cox
CHARLSON: Stata module to calculate Charlson index of comorbidity: Vicki Stagg
CHARON: Stata module to redistribute deaths by ill-defined causes and garbage codes: Alessandro Bigoni
CHARTAB: Stata module to tabulate character frequency counts: Robert Picard