Statistical Software Components

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PANELTHRESH: RATS procedure to analyze up to two threshold breaks in a fixed effects panel model: Tom Doan
PANELUNIT: Stata module to support unit root tests on panel data: Christopher Baum
PANELVIEW: Stata module to visualize panel data: Hongyu Mou and Yiqing Xu
PANTEST2: Stata module to perform diagnostic tests in fixed effects panel regressions: Nicholas Oulton
PARAGR: Stata module for parallel graphing of a coefficient across different equations: Roy Wada
PARALLEL: Stata module for Parallel Computing: George Vega and Brian Quistorff
PARAMED: Stata module to perform causal mediation analysis using parametric regression models: Richard Emsley and Hanhua Liu
PARAN: Stata module to compute Horn's test of principal components/factors: Alexis Dinno
PARETOFIT: Stata module to fit a Type 1 Pareto distribution: Stephen Jenkins and Philippe Van Kerm
PARIV: Stata module to perform nearly-collinear robust instrumental-variables regression: Alwyn Young
PARMEST: Stata module to create new data set with one observation per parameter of most recent model: Roger Newson
PARMHET: Stata module to produce heterogeneity tests in parmest resultssets: Roger Newson
PARMPARSE: Stata module to parse a parameter name variable in a parmest resultsset: Roger Newson
PARPLOT: Stata module for parallel coordinates plots: Nicholas Cox
PARSELOC: Stata module to extract coordinates from a geolocation variable generated by Survey Solutions: Sergiy Radyakin
PARSEUAS: Stata module to extract detailed information from user agent strings: Joss Roßmann and Tobias Gummer
PARTCHART: Stata module to automatically output participant characteristics table in a variety of formats: Seth Lirette
PARTGAM: Stata module to calculate partial gamma coefficient: Jens Lauritsen and Svend Kreiner
PARTPRED: Stata module to generate partial predictions: Paul Lambert
PARTTAU: Stata module to calculate Kendall's partial tau and confidence interval: James Fiedler and Alan H. Feiveson
PASCAL: Stata module to draw Pascal's triangle: Amadou Diallo
PATHMAKER: Stata module to set global path variables using subfolder names: Iain Snoddy
PATHOF: Stata module to return the absolute path of any parent directory of the current working directory: Michael Barker
PATHUTIL: Stata module to support file path manipulation: Daniel Klein
PAVERAGE: Stata module to calculate p-period-average series in a panel dataset: P. Wilner Jeanty
PAYPER: Stata module to compute the periodic payment and the entire schedule of a loan or annuity: Máximo Sangiácomo
PBETA: Stata module to generate probability plot for data compared with fitted beta distribution: Nicholas Cox
PBREG: Stata module to fit the Preece and Baines (1978) family of growth curves and age, height, and velocity at peak height velocity: Adrian Sayers
PCA2: Stata module to apply Principal Component Analisys (PCA) to standard and GMM-style instrumental variables: Maria Bontempi and Irene Mammi
PCACOEFSAVE: Stata module to save results of PCA to new dataset: Nicholas Cox
PCCMTOOLKIT: Stata module to calculate pediatric risk of mortality scores: Razvan Azamfirei, Colleen Mennie, James Fackler and Sapna R. Kudchadkar
PCDID: Stata module to perform principal components difference-in-differences: Marc Chan and Simon Sai Man Kwok
PCDSEARCH: Stata module to extract code lists from primary care databases: Evangelos Kontopantelis
PCHIPOLATE: Stata module for piecewise cubic Hermite interpolation: Nicholas Cox
PCIPLOT: Stata module to plot pointwise confidence intervals: Patrick Royston
PCM: Stata module to estimate the parameters of a Partial Credit Model (PCM) or of a Rating Scale Model (RSM): Jean-Benoit Hardouin and Myriam Blanchin
PCMDIF: Stata module to for diagnosing and considering a potential differential item functioning (DIF) when analysing patient reported outcomes using partial credit models: Jean-Francois Hamel-Broza
PCMODEL: Stata module to estimate parameters of a Partial Credit Model or a Rating Scale Model by MML: Jean-François Hamel
PCMTEST: Stata module to test the fit of a Partial Credit Model or a Rating Scale Model estimated using pcmodel: Jean-François Hamel
PCORR2: Stata module to display partial and semipartial correlation coefficients: Richard Williams
PCORRMAT: Stata module to compute partial correlation coefficients controlled for a fixed set of covariates: Maarten Buis
PCPANEL: Stata module to perform power calculations for randomized experiments with panel data, allowing for arbitrary serial correlation: Fiona Burlig, Louis Preonas and Matt Woerman
PCTILESETS: Stata module for percentile or quantile sets for selected levels: Nicholas Cox
PCTRIM: Stata module to trim variables based on percentiles: Michael Barker
PDBVRAR: GAUSS module to Construct Portfolios via the Maximization of the Risk Adjusted Return: Abdulnasser Hatemi-J and Alan Mustafa
PDC: Stata module for computing the Proportion of Days Covered (of a medication): Ariel Linden
PDFHESTON: MATLAB function to evaluate the probability density function in the Heston (1993) model: Agnieszka Janek and Rafał Weron
PDFPLOT: Stata module to Plot a Distribution's Probability Density Function: Jacob Triplett
PDI: Stata module to calculate the polytomous discrimination index (PDI): Chao Wang
PDPLOT: Stata module to produce Pareto dot plot: Nicholas Cox