Moderation Analyses, PROCESS Macro, Regression

RePROCESS: PROCESS macro for R – Model 1

I have decided to write an R version of the PROCESS macro for mediation, moderation, and conditional process analysis, which is called RePROCESS.

I will regularly update the package as I add more models and post updates on this blog.

Unlike the SPSS macro, it generates the plots for you, and runs the analyses run at least four times faster! However, I’m not sure how computation time compares to the SAS version.

The development version of the package has now been released and allows you to run Model 1, which is for a single predictor and moderator variable.

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Bootstrapping, Multiple Testing, Regression, Robust Regression

Free step-down re-sampling adjustment for multiple testing in linear regression

This brief post presents a function to implement the free step-down re-sampling p-value adjustment for multiple-testing for regression models. It is an adaptation of the R code presented in Foulkes (2009, pp. 114-119), but it implements the minP method in addition to the maxT method.

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