stcolema / batchmix

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](https://doi.org/10.1101/2022.01.14.476352) for details of the model.
GNU General Public License v3.0
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rhub workflow file #8

Closed stcolema closed 5 months ago