Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction R package batchmix version 2.2.2 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. Software Imports: Rcpp (>= 1.0.5), tidyr, ggplot2, salso LinkingTo: Rcpp, RcppArmadillo Suggests: xml2, knitr, rmarkdown Stephen Coleman <stcolema@tcd.ie> Comprehensive R Archive Network (CRAN) Stephen Coleman [aut, cre], Paul Kirk [aut], Chris Wallace [aut] GPL-3 2026-06-04 application/tgz https://CRAN.R-project.org/package=batchmix doi:10.32614/CRAN.package.batchmix