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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.
Getting started
Browse package contents
Package details |
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| Author | Stephen Coleman [aut, cre], Paul Kirk [aut], Chris Wallace [aut] |
| Maintainer | Stephen Coleman <stcolema@tcd.ie> |
| License | GPL-3 |
| Version | 2.2.1 |
| URL | https://github.com/stcolema/batchmix |
| Package repository | View on CRAN |
| Installation |
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