Statistical Software Components

From Boston College Department of Economics
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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
QCONVERT: Stata module to convert a raw Q-sort file into a new Q-sort file which is ready for analysis by QFACTOR program: Noori Akhtar-Danesh
QCOUNT: Stata program to fit quantile regression models for count data: Alfonso Miranda
QENV: Stata module to generate quantile envelopes for quantile-quantile plots: Maarten Buis and Nicholas Cox
QEXP: Stata module to produce quantile-quantile plot for data vs fitted exponential distribution: Nicholas Cox
QFACTOR: Stata module to perform Q-analysis on Q-sorts using different factor extraction and factor rotation techniques: Noori Akhtar-Danesh
QGAMMA: Stata module to generate quantile-quantile plot for data vs fitted gamma distribution: Nicholas Cox
QHAPIPF: Stata module to perform analysis of quantitative traits using regression and log-linear modelling when PHASE is unknown: Adrian Mander
QIC: Stata module to compute model selection criterion in GEE analyses: James Cui
QLL: Stata module to implement Elliott-Müller efficient test for general persistent time variation in regression coefficients: Christopher Baum
QLOGNORM: Stata module for diagnostic plots for lognormal distribution: Nicholas Cox
QLQC15: Stata module for scoring of the EORTC QLQ-C15-PAL: Niels Henrik Bruun
QOG: Stata module to access the most recent release of the "Quality of Government" data: Christoph Thewes
QOGBOOK: Stata module to access Quality of Government codebooks: Richard Svensson
QPAIR: Stata module to perform Q-analysis on paired Q-sorts using different factor extraction and factor rotation techniques: Noori Akhtar-Danesh
QPFIT: Stata module containing various quantile and probability plots for assessing distribution fit: Nicholas Cox
QQCOMPARE: Stata module to evaluate balance after matching using quantile-quantile plots: Sunil Mitra Kumar
QQPLOT2: Stata module to produce quantile-quantile plot: Nicholas Cox
QQPLOT3: Stata module to plot the unweighted and weighted quantiles of one variable against the corresponding quantiles of another: Ariel Linden
QQPLOTG: Stata module to draw quantile-quantile plots, generalized to allow groups and plotting difference vs mean: Nicholas Cox
QQVALUE: Stata module to generate quasi-q-values by inverting multiple-test procedures: Roger Newson
QREG2: Stata module to perform quantile regression with robust and clustered standard errors: José António Machado, Paulo Parente and João Santos Silva
QREGPD: Stata module to perform Quantile Regression for Panel Data: Matthew Baker
QREGPLOT: Stata module for plotting coefficients of a Quantile Regression: Fernando Rios-Avila
QREGSEL: Stata module to estimate quantile regression corrected for sample selection: Ercio Muñoz Saavedra and Mariel Siravegna
QRISK2CMD: Stata module to run QRISK2 from within Stata: Roger Newson
QRKD: Stata module to estimate and produce robust inference for heterogeneous causal effects of a continuous treatment in quantile regression kink designs: Harold Chiang and Yuya Sasaki
QROWNAME: Stata module to extract lists of quoted row and column names from a matrix: Roger Newson
QRPROCESS: Stata module for quantile regression: fast algorithm, pointwise and uniform inference: Victor Chernozhukov, Ivan Fernandez-Val and Blaise Melly
QSIM: Stata module to produce variables for clarify routines: Fred Wolfe
QSTAT2: MATLAB function to compute Ljung-Box Q statistic: Christopher Baum