p qadf module to perform the Quantile Autoregression (QAR) unit root test proposed by Koenker and Xiao (JASA, 2004)
p qap module to perform quadratic assignment procedure
p qardl module to perform Quantile Autoregressive Distributed-Lag (QARDL) estimation
p qbeta module to generate quantile-quantile plot for data vs fitted beta distribution
p qbplot module for quantile plot with box flavour 
p qcm module to implement quantile control method (QCM) via Random Forest
p qcointlib module to provide library of quantile cointegration tests and estimators
p qconvert module to convert a raw Q-sort file into a new Q-sort file which is ready for analysis by QFACTOR program
p qcount program to fit quantile regression models for count data
p qenv module to generate quantile envelopes for quantile-quantile plots
p qexp module to produce quantile-quantile plot for data vs fitted exponential distribution
p qfactor module to perform Q-analysis on Q-sorts using different factor extraction and factor rotation techniques
p qgamma module to generate quantile-quantile plot for data vs fitted gamma distribution
p qhapipf module to perform analysis of quantitative traits using regression and log-linear modelling when PHASE is unknown
p qic module to compute model selection criterion in GEE analyses
p qll module to implement Elliott-Müller efficient test for general persistent time variation in regression coefficients
p qlognorm module for diagnostic plots for lognormal distribution
p qlqc15 module for scoring of the EORTC QLQ-C15-PAL
p qmodplot module to produce a Quadratic Moderation Plot
p qn module to estimate Rousseeuw and Croux (1993) robust measure of dispersion
p qnardl module to estimate Quantile Nonlinear Autoregressive Distributed Lag model of Cho, Greenwood-Nimmo, Kim and Shin
p qog module to access the most recent release of the "Quality of Government" data
p qogbook module to access Quality of Government codebooks 
p qpair module to perform Q-analysis on paired Q-sorts using different factor extraction and factor rotation techniques
p qpfit module containing various quantile and probability plots for assessing distribution fit
p qqcompare module to evaluate balance after matching using quantile-quantile plots
p qqplot2 module to produce quantile-quantile plot
p qqplot3 module to plot the unweighted and weighted quantiles of one variable against the corresponding quantiles of another
p qqplotg module to draw quantile-quantile plots, generalized to allow groups and plotting difference vs mean
p qqr module to estimate Bivariate Quantile-on-Quantile Regression (Sim & Zhou 2015)
p qqvalue module to generate quasi-q-values by inverting multiple-test procedures
p qrbreak module to test and estimate structural breaks in quantile regression 
p qreg2 module to perform quantile regression with robust and clustered standard errors
p qregpd module to perform Quantile Regression for Panel Data
p qregplot module for plotting coefficients of a Quantile Regression
p qregsel module to estimate quantile regression corrected for sample selection
p qresid module to compute randomized quantile residuals for regression diagnostics 
p qrisk2cmd module to run QRISK2 from within Stata
p qrkd module to estimate and produce robust inference for heterogeneous causal effects of a continuous treatment in quantile regression kink designs
p qrowname module to extract lists of quoted row and column names from a matrix
p qrprocess module for quantile regression: fast algorithm, pointwise and uniform inference 
p qsim module to produce variables for clarify routines
p qsub module to emulate a cluster environment using your desktop PC
p qta module to implement Quantitative Text Analysis (qta) for ESG Disclosures
p quadas module to provide graphical depiction of quality assessment in diagnostic accuracy reviews
p quaidsce module to estimate censored almost-ideal demand systems
p qualtricsload module to download survey results from Qualtrics server and optionally convert to Stata dataset
p quandl module to obtain data from Quandl using the Quandl API
p quantil2 module to generate multivariate quantile plot
p quantiles module to categorize by quantiles
p quasicoint module to perform Quasi-Cointegration Analysis without Unit Roots 
p quickicc module to compute intraclass correlation and standard error calculation after xtmixed
p quine module providing a self-producing program
p qv module to compute quasi-variances
p qvar module to perform Quantile Vector Autoregression
p qweibull module to generate quantile-quantile plot for data vs fitted Weibull distribution