Statistical Software Components

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PETPOISSON: Stata module to estimate an Endogenous Participation Endogenous Treatment Poisson model by MSL: Alfonso Miranda
PEXP: Stata module to produce probability plot for data compared with fitted exponential distribution: Nicholas Cox
PFWB: Stata module to predict Financial Well-Being scale scores from CFPB survey instrument: Austin Nichols
PGAMMA: Stata module to generate probability plot for data vs fitted gamma distribution: Nicholas Cox
PGMHAZ8: Stata module to estimate discrete time (grouped data) proportional hazards models: Stephen Jenkins
PHENOTYPE: Stata module to simulate disease status and censored age for family data: James Cui
PHILLIPS: MATLAB module to calculate Phillips-Perron test of the unit-root hypothesis: Ludwig Kanzler
PHILLIPSHANNAN: RATS procedure to compute Phillips-Hannan Efficient estimator for multivariate regressions: Tom Doan
PIAACTOOLS: Stata module to provide PIAAC tools: Artur Pokropek and Maciej Jakubowski
PIEPLOT: Stata module to plot pie charts of categorical frequencies: Nicholas Cox
PINDEX: Stata module to compute targeted price indices: Muhammad Rashid Ansari and Chiara Mussida
PISAREG: Stata module to perform linear regression with PISA data and plausible values: Maciej Jakubowski
PISATOOLS: Stata module to facilitate analysis of the data from the PISA OECD study: Maciej Jakubowski and Artur Pokropek
PLAUSEXOG: Stata module to implement Conley et al's plausibly exogenous bounds: Damian Clarke
PLOTBETA: Stata module to plot linear combinations of coefficients: Adrian Mander
PLOTMATRIX: Stata module to plot values of a matrix as different coloured blocks: Adrian Mander
PLS: Stata module to calculate composite variables using the partial least squares path modeling (PLS) algorithm: Mikko Rönkkö
PLSSAS: Stata module to execute SAS partial least squares procedure (Windows only): Adrian Mander
PLSSEM: Stata module to implement Partial least squares structural equation modelling (PLS-SEM): Sergio Venturini and Mehmet Mehmetoglu
PNG2RTF: Stata module to include PNG graphics in RTF documents: Austin Nichols
PNRCHECK: Stata module to verify the check digit in Swedish personal identification number: Nicola Orsini
POBREZAECU: Stata module to predict poverty in Ecuador: Daniel Jaramillo Calderonn and Sergio Guerra
POI2HDFE: Stata module to estimate a Poisson regression with two high-dimensional fixed effects: Paulo Guimaraes
POISML: Stata module to estimate maximum likelihood Poisson regression models: Joseph Hilbe
POLAR: Stata module to plot polar coordinates: Joe Canner
POLYSPLINE: Stata module to generate sensible bases for polynomials and other splines: Roger Newson
POPARMS: Stata module for potential outcome parameter estimation: Matias Cattaneo, David M. Drukker and Ashley Holland
POPSIM: Stata module to simulate completed fertility and birth intervals for two generations: Stephen Cranney
POSTRCSPLINE: Stata module containing post-estimation commands for models using a restricted cubic spline: Maarten Buis
POSTRRI: Stata module to calculate posterior relative risks: Nicola Orsini, Rino Bellocco and Sander Greenland
POTEST: RATS procedure to perform Phillips-Ouliaris-Hansen test for Cointegration: Tom Doan
POTESTRESIDS: RATS procedure to perform Phillips-Ouliaris-Hansen test for Cointegration on 1st stage residuals: Tom Doan
POVDECO: Stata module to calculate poverty indices with decomposition by subgroup: Stephen Jenkins
POVERTY: Stata module to calculate poverty measures: Philippe Van Kerm
POVGUIDE: Stata module to generate the U.S. Poverty Guideline value for a given family size and year: David Kantor
POVIMP: Stata module to provide poverty estimates in the absence of actual consumption data: Hai-Anh Dang and Minh Nguyen
POVTIME: Stata module to compute aggregate intertemporal poverty measures (poverty in a panel accounting for time): Carlos Gradín
POWERCAL: Stata module to perform general power and sample size calculations: Roger Newson
POWERQ: Stata module to calculates posterior probabilities for heterogeneity in a meta-analysis: Nikolaos Patsopoulos and Tiago V Pereira
POWERSIM: Stata module for simulation-based power analysis for linear and generalized linear models: Joerg Luedicke
PPML: Stata module to perform Poisson pseudo-maximum likelihood estimation: João Santos Silva and Silvana Tenreyro
PPML_PANEL_SG: Stata module to estimate "structural gravity" models via Poisson PML: Thomas Zylkin
PPPLOT: Stata module for P-P plots: Nicholas Cox
PPROB: Stata Program to compute poisson probabilities: Philip B. Ender
PPSCHROMY: Stata module to draw sample with probability proportionate to size, using Chromy's method of sequential random sampling: Jonathan Mendelson
PPSSAMPFORD: Stata module to draw sample with probability proportionate to size, without replacement, using Sampford's method: Jonathan Mendelson
PPUNIT: RATS procedure to perform Phillips-Perron Unit Root test: Tom Doan
PRE: Stata module to calculate the proportional reduction in errors accomplished by an estimated model: Paul Millar
PREDCALC: Stata module to calculate out-of-sample predictions for regression, logistic: Joanne M. Garrett
PREDXCAT: Stata module to calculate predicted means, medians, or proportions for nominal X's: Joanne M. Garrett