batchmix
Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2.1 |
2026-04-09 windows/windows R-4.5 | batchmix_2.2.1.zip |
886.0 KiB |