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.

SEQ: Stata module to generate sequences of integers: Nicholas Cox
SEQFIND: Stata module to find the sequence of a numeric character within a variable list: Ariel Linden
SEQLOGIT: Stata module to fit a sequential logit model: Maarten Buis
SEQUENCES: Stata module for generating versatile numeric sequences: Ariel Linden
SETPOISSON: Stata module to estimate a Selection Endogenous Treatment Poisson model by MSL: Alfonso Miranda
SETRNGSEED: Stata module to to set random-number seed using truly random integer from random.org: Antoine Terracol and William Gould
SETROOT: Stata module to find the root path of a project and set it as a global variable: Sergio Correia
SF12: Stata module to validate sf12 input and calculate sf12 version 2 t scores: Niels Henrik Bruun
SF36: Stata module to calculate summary statistics for the SF-36 Health Survey Instrument: Philip Ryan
SF36FR: Stata module to compute the scores of the French versions of the SF36 questionnaire: Jean-Benoit Hardouin
SF36V2: Stata module to score Short-Form 36 version 2: Monica Daigl
SFCROSS: Stata module for cross-sectional stochastic frontier models estimation: Federico Belotti, Silvio Daidone, Vincenzo Atella and Giuseppe Ilardi
SFKK: Stata module to estimate endogenous stochastic frontier models in the style of Karakaplan and Kutlu: Mustafa Karakaplan
SFPANEL: Stata module for panel data stochastic frontier models estimation: Federico Belotti, Silvio Daidone, Vincenzo Atella and Giuseppe Ilardi
SGINI: Stata module to compute Generalized Gini and Concentration coefficients, Gini correlations and fractional ranks: Philippe Van Kerm
SGPV: Stata module to calculate Second-Generation P-Value(s) (SGPV) and their associated diagnosis: Sven-Kristjan Bormann
SGTREG: Stata module to perform Regression using the Skewed Generalized T Distribution: Carter Davis
SHAKESPEARE: Stata module to randomly generate quotes from the Bard of Avon: Kevin Denny
SHAPLEY2: Stata module to compute additive decomposition of estimation statistics by regressors or groups of regressors: Florian Wendelspiess Chávez Juárez
SHAPLEY: Stata module to perform additive decomposition of sample statistic: Stanislav Kolenikov
SHEAFCOEF: Stata module to compute sheaf coefficients: Maarten Buis
SHORTANDLONG: RATS procedure to compute factor covariance matrix with short and long run restrictions: Tom Doan
SHORTDIR: Stata module to return the short Windows directory path name: Dan Blanchette
SHORTH: Stata module for descriptive statistics based on shortest halves: Nicholas Cox
SHOWGPH: Stata module to to show graphs previously saved: Jan Brogger and Nicholas Cox
SHOWNEAR: Stata module to show nearby values of numeric variable: Nicholas Cox
SHP2DTA: Stata module to converts shape boundary files to Stata datasets: Kevin Crow
SHUFFLE8: Stata module to shuffle a list: Ben Jann
SHUFFLE: Stata module to shuffle a list: Ben Jann
SHUFFLEVAR: Stata module to shuffle variables relative to the rest of the dataset: Gabriel Rossman
SICFF: Stata module to create Fama French Industry Variable from SIC Code: Tyson Van Alfen
SIDE_HISTOGRAM: Stata module to plot side by side histograms: Nicholas Cox
SIGCOEF: Stata module to count statistically significant coefficients across models: Jun Xu
SILHOUETTE: Stata module to calculate and graph silhouette width for cluster analysis: Brendan Halpin
SILVERMTEST: Stata module to perform Silverman (1981) multimodality test: Isaías Salgado-Ugarte and Verónica Mitsui Saito-Quezada
SIM_ARMA: Stata module to simulate data for ARMA processes: Jeff Pitblado
SIMARWILSON: Stata module to perform Simar & Wilson (2007) efficiency analysis: Oleg Badunenko and Harald Tauchmann
SIMGBM: MATLAB function to simulate trajectories of Geometric Brownian Motion (GBM): Rafał Weron
SIMHESTON: MATLAB function to simulate trajectories of the spot price and volatility processes in the Heston (1993) model: Agnieszka Janek and Rafał Weron
SIMIRT: Stata module to process data generated by IRT models: Jean-Benoit Hardouin
SIMON2STAGE: Stata module to to compute the design parameters for a Simon two-stage design: Adrian Mander
SIMPPLOT: Stata module creating a plot describing p-values from a simulation by comparing nominal significance levels with the coverages: Maarten Buis
SIMPUTE: Stata module to evaluate the effect of missing data on a published clinical trial: Adrian Mander
SIMSUM: Stata module to perform analyses of simulation studies including Monte Carlo error: Ian White
SIMUFE: Stata module to simulate panel data with fixed effects and generate scatter plots with optional fitting lines: Yujun Lian
SIMULATE2: Stata module enhancing and parallelising simulate: Jan Ditzen
SIMUPED: Stata module to simulate two- and three-generation family data: James Cui
SINGLEARM: Stata module supporting design and analysis of single-arm clinical trials: Michael Grayling
SINGLEB: Stata module to compute Contingent Valuation using Single-Bounded Dichotomous Choice: Alejandro Lopez-Feldman
SIVQR: Stata module to perform smoothed IV quantile regression: David Kaplan