Statistical Software Components

From Boston College Department of Economics
Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA.
Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

Access Statistics for this software series.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

LXHUSE: Stata module to access Stata datasets of lianxh.cn blogs: Yujun Lian
LXPCT_2: Stata module to calculate multistate life expectancies: Margaret Weden
LYAPEXPAN: MATLAB function to calculate Lyapunov exponents with Taylor expansion: Shapour Mohammadi
LYAPROSEN: MATLAB function to calculate Lyapunov exponent: Shapour Mohammadi
M_STATS: Stata module to implement interpoint distance distribution analysis: Pietro Tebaldi
MAAUTOLAGS: RATS procedure to compute Information Criteria for MA models using innovations algorithm: Tom Doan
MAC_UNAB: Stata module to unabbreviate Global Macro Lists: Eric Booth
MACKINNONCV: RATS procedure to compute Mackinnon's Critical values for DF and EG tests: Tom Doan
MACROF: Stata module to compute the macroF evaluation criterion for multi-class outcomes: Matthias Schonlau
MADFULLER: Stata module to perform Dickey-Fuller test on panel data: Christopher Baum
MADOT: Stata module to create dot plot for summarizing pooled estimates of multiple outcomes from meta-analysis: Yun Yu, Rongwei Fu, Jesse Wagner, Azrah Ahmed, Connor Smith and Roger Chou
MADS: Stata module to calculate Median Absolute Deviations: Basharat Hussain
MAGREG: Stata module to calculate maximum agreement regression: Matteo Bottai
MAHAPICK: Stata module to select matching observations based on a Mahalanobis distance measure: David Kantor
MAIL: Stata module to send progress reports (Mac OSX/Linux/Unix): Nikos Askitas
MAJORITY: Stata module for majority calculations for real or hypothetical elections: Nicholas Cox
MAKEDDI: Stata module to improve the quality and efficiency of meta-data documentation production: R. Castañeda and Santiago Garriga
MAKEHLP: Stata module to automatically create a help file: Adrian Mander
MAKEID: Stata module to create a unique ID for every observation in the dataset: Benjamin Daniels
MAKEMATRIX: Stata module to make a matrix of results from other commands: Nicholas Cox
MAKETEX: Stata module to generate LaTeX code from a text file: Antoine Terracol
MALMQ2: Stata module to compute Malmquist Productivity Index: Kerry Du
MANNWHITNEY: RATS procedure to perform Mann-Whitney test for comparison of samples: Tom Doan
MANSKI_CI: Stata module to use Manski type bounds (Manski 2003) to calculate confidence intervals around a treatment variable's regression coefficient in a (covariate-adjusted) regression: John Ternovski
MANYWEAKIV: Stata module to implement the weak-identification robust jackknife AR test from Mikusheva and Sun (2022): Liyang Sun
MAP: Stata module to map string variables using an external dictionary file: Daniel Fernandes
MAPCH: Stata module map chains of events: Ward Vanlaar
MAPSM: Stata module to perform multiple arms propensity score matching: Suppachai Lawanaskol, Phichayut Phinyo and Jayanton Patumanond
MAPTILE: Stata module to map a variable: Michael Stepner
MARGDISTFIT: Stata module to check the distributional assumptions underlying a parametric regression model: Maarten Buis
MARGEFF: Stata module to compute average marginal effects for categorical and limited dependent variable models: Tamás Bartus
MARGINSCONTPLOT2: Stata module to graph margins for continuous predictors: Patrick Royston
MARGINTEGRATE: Stata module to estimate non-parametric smooth functions for generalized additive models: Christian Gregory
MARGLMEAN: Stata module to compute marginal log means from regression models: Roger Newson
MARGPREV: Stata module to compute marginal prevalences from binary regression models: Roger Newson
MARHIS: Stata module to produce predictive margins and marginal effects plots with histogram after regress, logit, xtmixed and mixed: Enrique Hernández
MARIMEKKO: Stata module for marikmekko charts: Asjad Naqvi
MARK_CHANGES: Stata module to generate a variable indicating where one or more variables changes value: David Kantor
MARKOV: Stata module to generate Markov probabilities: Nicholas Cox
MARKOVCI: Stata module for computing nonparametric bootstrapped confidence intervals for discrete time Markov chains: Ariel Linden
MARKOVFIRSTORDER: Stata module for assessing whether a sequence follows an independent state model or a first-order Markov chain model: Ariel Linden
MARKOVFUTUREPROB: Stata module to compute the probability distribution for future periods of a Markov chain: Ariel Linden
MARKOVMEANRECURRENCE: Stata module to compute the mean recurrence time for an ergodic Markov chain: Ariel Linden
MARKOVMFPT: Stata module to compute mean first passage time for ergodic Markov chains: Ariel Linden
MARKOVPREDICT: Stata module for predicting the next state of a Markov chain model given specified past states: Ariel Linden
MARKOVSTEADYSTATE: Stata module to compute steady state probabilities for Markov chains: Ariel Linden
MARKOVTHEOTRANS: Stata module to test whether a discrete time Markov chain is consistent with a theoretical transition matrix: Ariel Linden
MARKSTAT: Stata module to support literate data analysis using Stata and Markdown: German Rodriguez
MARKTOUSE: Stata module to mark the observations to be used: Ben Jann
MARKUPEST: Stata module for markup estimation via Micro and Macro approaches: Gabriele Rovigatti