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R and python implementation of the computed ABC Analysis for rational selection of the most informative variables. Features calculation using monotonic splines, edge-case handling (see details here), base R plots as well as GGPLots.
The package can be installed from CRAN:
install.packages("cABCanalysis")from this github repository using the remotes package:
remotes::install_github("AndreHDev/cABC_Analysis")or manually by cloning this repository and running
devtools::install("path/to/cABC_Analysis")If you use this tool in your research, please cite the original publication:
Ultsch A, Lötsch J (2015) “Computed ABC Analysis for Rational Selection of Most Informative Variables in Multivariate Data”. PLoS ONE 10(6): e0129767.
doi:10.1371/journal.pone.0129767
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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