MultinomialMutations/MultinomialMutations: Fast multinomial regression for large cancer mutation datasets

This package allows multinomial regression on large datasets by splitting up the multinomial model with M output categories into M-1 binomial models and estimating each one separately. The VC matrix of the parameter estimates is computed as in Begg & Gray, 1984. It is especially designed for the analysis of large mutation datasets from cancer genomes. The package was written for the data analysis in the paper Bertl, J.; Guo, Q. et al. bioRxiv, 2017. doi: https://doi.org/10.1101/122879.

Getting started

Package details

AuthorJohanna Bertl
MaintainerJohanna Bertl <[email protected]>
LicenseWhat license is it under?
Version2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("MultinomialMutations/MultinomialMutations")
MultinomialMutations/MultinomialMutations documentation built on May 22, 2019, 4:39 p.m.