#SoftwareThe software packages listed below are for the R programming language for statistical computing. You will therefore need a working installation of R (freely downloadable from one of the many CRAN mirrors), whereafter you can follow the installation instructions as outlined here. Some additional packages are available in repositories on my GitHub account.
For any bug reports or suggestions, please send me an e-mail.
This package contains tools for common principal component (CPC) analysis and applications of the CPC model to various other statistical techniques. Functions are available for covariance matrix estimation, discriminant analysis and biplots, all under the CPC model.
Performs Harbin quantification for reverse transcription quantitative PCR (RT-qPCR) data. Currently offers support only for files produced by the Qiagen Rotor-Gene Q thermal cycler, but the package can be extended per request to support other technologies.
This package contains methods for non-parametric data analysis. At the moment only some tests for the two-sample location-scale problem are given, but more will be added in future versions.
A collection of various auxiliary functions to ease matrix manipulation in R. This package may contain code for functions (and wrappers for functions) already implemented in other R packages, but is mostly for my personal use.