R
I’m a long-time R user, and when time permits, I try to contribute to the R community.
- My book Modern Statistics with R is freely available online.
- I written a short tutorial on training TabPFN models in R using reticulate.
- I’ve created and contributed to several R packages, including:
- boot.pval: convenience functions for computing bootstrap p-values, including for various regression models.
CRAN link / GitHub link. - ivo.table: nicely formatted frequency tables and contingency tables.
CRAN link / GitHub link. - nullabor: visual tools for assessing distributional assumptions and residuals in linear regression models.
CRAN link / GitHub link. - MultSurvTests: multivariate version of the two-sample logrank and Gehan tests.
CRAN link / GitHub link.
- boot.pval: convenience functions for computing bootstrap p-values, including for various regression models.
- The Bioscreen Analysis Tool, developed using R and Shiny, is an online app for analysis of growth curves from Bioscreen C MBR machines. The source code is available on GitHub.