CRAN/E | batchmix

batchmix

Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction

Installation

About

Semi-supervised and unsupervised Bayesian mixture models that simultaneously infer the cluster/class structure and a batch correction. Densities available are the multivariate normal and the multivariate t. The model sampler is implemented in C++. This package is aimed at analysis of low-dimensional data generated across several batches. See Coleman et al. (2022) doi:10.1101/2022.01.14.476352 for details of the model.

github.com/stcolema/batchmix
System requirements GNU make
Bug report File report

Key Metrics

Version 2.2.0
Published 2024-04-18 11 days ago
Needs compilation? yes
License GPL-3
CRAN checks batchmix results

Downloads

Yesterday 8 0%
Last 7 days 105 -17%
Last 30 days 354 -3%
Last 90 days 1.317 -22%
Last 365 days 6.156 +191%

Maintainer

Maintainer

Stephen Coleman

stcolema@tcd.ie

Authors

Stephen Coleman

aut / cre

Paul Kirk

aut

Chris Wallace

aut

Material

README
Reference manual
Package source

Vignettes

Introduction to batchmix

macOS

r-prerel

arm64

r-release

arm64

r-oldrel

arm64

r-prerel

x86_64

r-release

x86_64

Windows

r-prerel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

batchmix archive

Imports

Rcpp ≥ 1.0.5
tidyr
ggplot2
salso

Suggests

xml2
knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo