Statistical Software Components

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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
PINOCCHIO: Stata module that randomly generates false econometric statements: Marco Santacroce
PIP: Stata module to access poverty and inequality data from the World Bank's Poverty and Inequality Platform (PIP): R. Castañeda
PIPE: Stata module to perform a curve-free dual-agent dose-escalation design: Adrian Mander
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
PLOT_CONFIDENTLY: Stata module to visualize the mean and confidence interval of a specified variable: Zaeen de Souza and Kabira Namit
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
PLOTRPYS: Stata module to plot a spectrogram using CSV export from CRExplorer: Lutz Bornmann
PLOTTABS: Stata module providing fast graphing commands for large datasets: Jan Kabátek
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
PLZTOWKNR: Stata module to translate German zip codes into electoral districts: Konstantin Glinitzer, Tobias Gummer, Malte Kaukal, Joss Roßmann and Nils Jungmann
PMANAGE: Stata module to manage large projects: José Andrés Jurado
PMCALPLOT: Stata module to produce calibration plot of prediction model performance: Joie Ensor, Kym IE. Snell and Emma C. Martin
PMCT2ES: Python Module for Cointegration Tests with Two Endogenous Structural Shifts: Alan Mustafa and Abdulnasser Hatemi-J
PMSAMPSIZE: Stata module to calculate the minimum sample size required for developing a multivariable prediction model: Joie Ensor
PMVALSAMPSIZE: Stata module to calculate the minimum sample size required for external validation of a multivariable prediction model: Joie Ensor
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
POLAR: Stata module to plot polar coordinates: Joe Canner
POLARSPIKE: Stata module for polar spike graphs: Asjad Naqvi
POLYSPLINE: Stata module to generate sensible bases for polynomials and other splines: Roger Newson
POOLEDSD: Stata module to calculate pooled standard deviation for a continuous variable by a factor variable: David Speed
POPARMS: Stata module for potential outcome parameter estimation: Matias Cattaneo, David 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
POSW_POSIS: Stata module to implement the partialling-out estimator based on iterative sure independence screening: David Drukker and Di Liu
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
POVCALNET: Stata module to access World Bank Global Poverty and Inequality measures: Andrés Castañeda, Christoph Lakner, Espen Prydz, Jorge Soler Lopez, Ruoxuan Wu and Qinghua Zhao
POVDECO: Stata module to calculate poverty indices with decomposition by subgroup: Stephen Jenkins
POVERTY: Stata module to calculate poverty measures: Philippe Van Kerm
POVGUIDE2: Stata module to compute Federal Poverty Guidelines by family size and year, 1973-2025: Reginald Hebert
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
POWER_CONCORD: Stata module to compute power and sample size for Lin's concordance correlation coefficient: Ariel Linden and Lawrence Lin
POWER_DIAGNOSTIC: Stata module to compute power and sample size for sensitivity and specificity of a diagnostic test: Ariel Linden
POWER_ICC: Stata module to compute power and sample size for one-way random-effects intraclass correlation: Ariel Linden