Software Packages

Click here for a collection of R and Stata packages that can be used for data analysis.

R packages

  • rmedsem: R package for statistical mediation analysis, developed in collaboration with Matthias Mittner.

  • mmiss: R package to tabulate counts and percentages of missing values.

  • rrelicoef: R package to compute Raykov’s factor reliability coefficient.

  • rmint: R package to examine across-groups equivalence of confirmatory factor analysis (CFA) measurement model parameters.

  • rcondisc: R package to perform convergent and discriminant validity assessment in CFA.

  • rvimp: R package to assess the relative importance of predictors of a regression model.

Stata packages

  • plssem: Stata package to implement Partial least squares structural equation modelling (PLS-SEM), developed in collaboration with Sergio Venturini.

  • medsem: Stata package for statistical mediation analysis.

  • mint: Stata module to examine across-groups equivalence of confirmatory factor analysis (CFA) measurement model parameters.

  • condisc: Stata module to perform convergent and discriminant validity assessment in CFA.

  • relicoef: Stata module to compute Raykov’s factor reliability coefficient.

  • fsdet: Stata module to compute Factor score determinacy coefficient.

  • vaf: Stata module to compute mediation effect in SEM.

  • sumscale: Stata module to generate summated scales.

  • regcheck: Stata module to examine regression assumptions.

  • regcoef: Stata module to compute coefficients for quantifying relative importance of predictors.

  • sqmc: Stata module to compute squared multiple correlation.

  • logtest: Stata module to test significance of a predictor in logistic models.

  • percat Stata module to perform percentile-based categorisation.

  • cv: Stata module to compute coefficient of variation after regress.