Statistical Software Components

From Boston College Department of Economics
Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA.
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INEQUAL2: Stata module to compute measures of inequality: Philippe Van Kerm
INEQUAL7: Stata module to compute measures of inequality: Philippe Van Kerm
INFLATE: Stata module to inflate variables to real dollars using the CPI-U series: Sean McCulloch
INGAP: Stata module to insert gap observations into a data set before output by listtex: Roger Newson
INLIST2: Stata module to create an inlist() dummy, without the inlist() limitations: Matteo Pinna
INORM: Stata module to perform multiple imputation using Schafer's method: John C. Galati and John B. Carlin
INSHEETJSON: Stata module for importing tabular data from JSON sources on the internet: Erik Lindsley
INSHELL: Stata module to send commands to the shell as well as capture and print their standard output, standard error, and native shell return codes: Matthew Bryant Hall
INSINGAP: Stata module to insert a single gap observation at the top of each by-group: Roger Newson
INSOB: Stata module to insert empty observations: Sebastiaan (Bas) Straathof
INSTALLPKG: Stata module to install Stata packages by specifying zipfile/pkgfile or local directory: Kerry Du
INT_UTILS: Stata module to perform interval computations in Mata: Matthew Baker
INTCENS: Stata module to perform interval-censored survival analysis: Jamie Griffin
INTEFF3: Stata module to compute partial effects in a probit or logit model with a triple dummy variable interaction term: Thomas Cornelissen and Katja Sonderhof
INTEGRATE: Stata module to perform one-dimensional integration: Adrian Mander
INTEGRATE_AQ: Stata module to do adaptive quadrature for integrals: Adrian Mander
INTERACTIVEEFFECTS: MATLAB function to estimate interactive fixed effects models: Jushan Bai
INTERACTPLOT: Stata module to generate plots for interaction terms of multiplicative regressions: Jan Helmdag
INTERFLEX: Stata module to estimate multiplicative interaction models with diagnostics and visualization: Yiqing Xu, Jens Hainmueller, Jonathan Mummolo and Licheng Liu
INTERPOL: RATS procedure to interpolate from one frequency to a higher one: Tom Doan
INTEXT: Stata module to read text files into string variables: Roger Newson
INTGPH: Stata module to interpret interaction effects and present graphically: Bennet Zelner and Dan Blanchette
INTREG2: Stata module to perform interval regression with multiplicative heteroskedasticity: Weihua Guan
INTSOLVER: Stata module providing functions and tools for finding solutions to nonlinear equation systems in Mata: Matthew Baker
INTTERMS: Stata module to enumerate all indicators for all intersections of two categorical variables: Vince Wiggins
INVCDF: Stata module to invert the cumulative distribution function: Ben Jann
INVCISE: Stata module to compute standard errors using the inverse confidence interval method: Roger Newson
INVDESC: Stata module to change variable attributes using a describe or descsave resultsset: Roger Newson
INVGAMMAFIT: Stata module to fit a two-parameter inverse gamma distribution: Nicholas Cox and Stephen Jenkins
INVGAMMAPARMS: RATS procedure to compute parameters required for inverse gamma distribution: Tom Doan
INVGAUSSFIT: Stata module to fit a two-parameter inverse Gaussian distribution: Nicholas Cox and Stephen Jenkins
IOP: Stata module to to compute different measures of inequality of opportunity for dichotomous, ordered and continuous outcome variables: Florian Wendelspiess Chávez Juárez and Isidro Soloaga
IOT: Stata module to estimate Leontief Input-Output Table: Emad Shehata and Sahra Mickaiel
IOTA: Stata module to compute the iota coefficient of interrater agreement for interval or nominal multivariate observations: Ariel Linden
IPABCSTATS: Stata module to compare survey and back check data, producing an Excel output of comparisons and error rates: Ishmail Azindoo Baako and Rosemarie Sandino
IPDFC: Stata module to reconstruct individual participant data from a published Kaplan-Meier curve: Yinghui Wei and Patrick Royston
IPDFOREST: Stata module to produce forest plot for individual patient data IPD meta-analysis (one stage): Evangelos Kontopantelis and David Reeves
IPDMETAN: Stata module for performing two-stage IPD meta-analysis: David Fisher
IPDPOWER: Stata module to perform simulation based power calculations for mixed effects modelling: Evangelos Kontopantelis
IPF: Stata module to perform log-linear modelling using Iterative Proportional Fitting: Adrian Mander
IPFRAKING: Stata module to perform iterative proportional fitting, aka raking: Stanislav Kolenikov
IPFWEIGHT: Stata module to create adjustment weights for surveys: Michael Bergmann
IPSHIN: RATS procedure to implement Im, Pesaran and Shin panel unit root test: Tom Doan
IPSHIN: Stata module to perform Im-Pesaran-Shin panel unit root test: Fabian Bornhorst and Christopher Baum
IPWBREG: Stata module to compute inverse propensity weights from Bernoulli regression: Roger Newson
IPWLOGIT: Stata module to fit marginal logistic regression by inverse probability weighting: Ben Jann
IQUANTILE: Stata module to calculate interpolated quantiles: Nicholas Cox
IRA: Stata module to calculate rwg and related interrater agreement indices: Lorenz Graf-Vlachy
IRAX: Stata module to perform isotonic regression analysis: Wim van Putten and Patrick Royston
IRR: Stata module to calculate the (periodic) internal rate of return for a series of periodic cash flows: Máximo Sangiácomo