Statistical Software Components

from Boston College Department of Economics
Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA.
Contact information at EDIRC.
Series data maintained by Christopher F Baum ().

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CHIPLOT: Stata module to produce graphical assessment plot for dependence: Thomas J Steichen
CHIST: Stata Program to make frequency tables with class intervals: Philip B. Ender
CHUNKY: Stata module to chunk a large text file into smaller parts: David Elliott
CI2: Stata module to compute confidence intervals for correlations: Paul Seed
CI_MARG_MU: Stata module to produce simulation-based confidence intervals after gllapred: Sophia Rabe-Hesketh
CIBPLOT: Stata module for bar-on-bar plots of confidence intervals: Nicholas Cox
CID: Stata module to calculate confidence intervals for means or differences: Patrick Royston
CIFORM: Stata module to format confidence interval for tables in documents: Roger Benedict Newson
CIHPLOT: Stata module to show horizontally labelled plots showing confidence intervals: Nicholas Cox
CIJ: Stata module for binomial confidence intervals for proportions using Jeffreys prior: Nicholas Cox
CIPLOT: Stata module for plots of confidence intervals: Nicholas Cox
CIPOLATE: Stata module for cubic interpolation: Nicholas Cox
CIRCSTAT: Stata modules to calculate circular statistics: Nicholas Cox
CIRCULAR: Stata module for circular statistics: Nicholas Cox
CISTAT: Stata module to produce confidence intervals in matrix form: Nicholas Cox
CItest2b: GAUSS module to implement tests for cointegration with two unknown structural breaks: Prof. Abdulnasser Hatemi-J
CIVPLOT: Stata module to plot confidence intervals vertically: Nicholas Cox
CIW: Stata module for binomial confidence intervals for proportions using Wilson scores: Nicholas Cox
CKVAR: Stata module to allow error checking routines to easily be defined and attached directly to variables: Bill Rising
CLARIFY: Stata modules for Monte Carlo simulation: Gary King
CLASSPLOT: Stata module to plot predicted probability and empirical values after a binary response model: Lars Eric Kroll
CLEANLOG: Stata module to clean log files: Lee E. Sieswerda
CLEMAO_IO: Stata module to perform unit root tests with one or two structural breaks: Christopher Baum
CLOGITHET: Stata module to estimate heteroscedastic conditional logit model: Arne Hole
CLORENZ: Stata module to estimate Lorenz and concentration curves: Araar Abdelkrim
CLTEST: Stata modules for performing cluster-adjusted chi-square and t-tests: Jeph Herrin
CLUMP: Stata module to compute permutation test approach to assessing genetic associations with case/control status: Adrian Paul Mander
CLUSTER: Stata module to perform nonhierarchical k-means (or k-medoids) cluster analysis: Dean Judson
CLUSTSENS: Stata module to perform sensitivity analysis for cluster commands: Paul Millar
CLV: Stata module to implement a clustering of variables around latent components: Jean-Benoit Hardouin
CME: Stata program to estimate generalized linear models with covariate measurement error: Sophia Rabe-Hesketh
CMP: Stata module to implement conditional (recursive) mixed process estimator: David Malin Roodman
CNBREG: Stata module to estimate negative binomial regression - canonical parameterization: Joseph Michael Hilbe
CNDNMB3: Stata module to calculate condition number of regressor matrix: Michael Blasnik
CNORMP: Stata module to evaluate censored normal distribution: Austin Nichols
CNSRSIG: Stata module to evaluate validity of restrictions on a regression: Christopher Baum and Vince Wiggins
COCHRAN: Stata module to test for equality of proportions in matched samples (Cochran's Q): Ben Jann
CODCI: Stata module to calculate Bonett-Seier's Confidence Interval for the COD: Mamoun BenMamoun
CODEBOOK2: Stata module to produce a codebook describing a data file: Paul H. Bern
COLDIAG2: Stata module to evaluate collinearity in linear regression: John Hendrickx
COLDIAG: Stata module to perform BWK regression collinearity diagnostics: Joseph Harkness
COLELMS: Stata module to calculate Cole's LMS values for growth data: Zhiqiang Wang and Mark S Pearce
COLLAPSE2: Stata module to extend the collapse command: David Malin Roodman
COLLAPSEUNIQUE: Stata module to reduce data to unique observations based on specified key variables: David Kantor
COMPLEXROOTS: RATS procedure for calculating roots of a polynomial: Tom Doan
COMPLOGIT: Stata module to compare logit coefficients across groups: Glenn Hoetker
CONCINDC: Stata module to calculate concentration index with both individual and grouped data: Zhuo (Adam) Chen
CONCINDEX: Stata module to calculate measures of the concentration index: Amadou Bassirou Diallo
CONCORD: Stata module for concordance correlation: Nicholas Cox and Thomas J Steichen
CONFALL: Stata module to plot and display estimates to assess confounding: Zhiqiang Wang