Statistical Software Components

From Boston College Department of Economics
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PRTAB: Stata module to compute Precision-recall curves: Jonathan Cook
PRWE: Stata module to calculate the PRWE scores from your records: Monica Daigl
PSACALC: Stata module to calculate treatment effects and relative degree of selection under proportional selection of observables and unobservables: Emily Oster
PSBAYES: Stata module to perform pseudo-Bayes smoothing of cell estimates: Nicholas Cox
PSEMAIL: Stata module to send email from within Stata for Windows environment: Xuan Zhang, Dongliang Cui and Chuntao Li
PSESTIMATE: Stata module to estimate the propensity score proposed by Imbens and Rubin: Alvaro Carril
PSHARE: Stata module to compute and graph percentile shares: Ben Jann
PSIDTOOLS: Stata module to facilitate access to Panel Study of Income Dynamics (PSID): Ulrich Kohler
PSIDUSE: Stata module providing easy PSID access: Ulrich Kohler
PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing: Edwin Leuven and Barbara Sianesi
PSPLINE: Stata module providing a penalized spline scatterplot smoother based on linear mixed model technology: Ben Jann and Roberto G. Gutierrez
PSREG: Stata module for blocking with regression adjustments: Martina Bazzoli, Silvia De Poli and Daniela Piazzalunga
PSTRATA: Stata module for optimal propensity score stratification: Ariel Linden
PSWEIGHT: Stata module to perform IPW- and CBPS-type propensity score reweighting, with various extensions: Keith Kranker
PTREND: Stata module for trend analysis for proportions: Patrick Royston
PTVTOOLS: Stata module contining various tools for PTV analysis: Lorenzo De Sio and Mark Franklin
PULLIN: Stata module to run a many-to-one merge with a specific set of options: Tommy Morgan
PUNAF: Stata module to compute population attributable fractions for cohort studies: Roger Newson
PUNAFCC: Stata module to compute population attributable fractions for case-control and survival studies: Roger Newson
PUTDOCXCROSSTAB: Stata module to produce crosstabulations with putdocx: Jan Brogger
PUTDOCXFREQTABLE: Stata module to produce frequency oneway tables with putdocx: Jan Brogger
PUTWRAP: Stata module to simplify creation of putdocx and putpdf documents: Bill Rising
PV: Stata module to perform estimation with plausible values: Kevin Macdonald
PVENN: Stata module to create proportional Venn diagram: Wenfeng Gong and Jan Ostermann
PVFIX: Stata module to compute the present value of a series of equal payments (cash flows): Máximo Sangiácomo
PVVAR: Stata module to compute the present value of a series of payments (cash flows): Máximo Sangiácomo
PVW: Stata module to perform predictive value weighting for covariate misclassification in logistic regression: Jonathan Bartlett
PWCORR2: Stata module to compute pairwise correlations and return results: Christopher Baum
PWCORRF: Stata module to compute pairwise correlations efficiently, with builtin reshape functionality: Jesse Wursten
PWCORRS: Stata module for enhanced correlation matrix: Fred Wolfe
PWCORRW: Stata module to print wide correlation matrix with significance indicators: Nicholas Cox
PWCOV: Stata module to compute pairwise covariances: Christopher Baum
PWEIBULL: Stata module to generate probability plot for data vs fitted Weibull distribution: Nicholas Cox
PWEXP: Stata module to fit piecewise exponential model: Allen Buxton
PWLAW: Stata module to test for power-law behavior: Carlos Urzúa
PWMC: Stata module to compute pairwise multiple comparisons (unequal variances): Daniel Klein
PWPLOTI: Stata module to plot power curve for sample size and power calculation: Zhiqiang Wang
PYCONVERTU: Stata module to convert a string variable into a classification from the default or user-provided JSON file with the help of Python 3: Ilya Bolotov
PyCPTAM: Python Module for Constructing Portfolios via Two Alternative Methods: Alan Mustafa and Abdulnasser Hatemi-J
PYDDOP: Python Module for Determining the Dimension of the Optimal Portfolio: Alan Mustafa and Abdulnasser Hatemi-J
PYEOCPS: Python Module for the Evaluation of Options and Calculation of the Price Sensitivities: Abdulnasser Hatemi-J and Alan Mustafa
PYRAMID: Stata tutorial for population pyramids: Jens Lauritsen
PYRAMID_CHART: Stata module to generate a population pyramid chart: Mohammed Masudur Rahman
PYSTACKED: Stata module for stacking generalization and machine learning in Stata: Achim Ahrens, Christian Hansen and Mark Schaffer
PYTHON: Stata module for using the Python language within Stata: James Fiedler
PZMS: Stata module to implement the Placebo Zone optimal Model Selection algorithm for regression discontinuity and kink designs: Nathan Kettlewell and Peter Siminski
QAP: Stata module to perform quadratic assignment procedure: William Simpson
QBETA: Stata module to generate quantile-quantile plot for data vs fitted beta distribution: Nicholas Cox
QBPLOT: Stata module for quantile plot with box flavour: Nicholas Cox
QCM: Stata module to implement quantile control method (QCM) via Random Forest: Guanpeng Yan and Qiang Chen