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.
| Version: |
2.0.0 |
| Imports: |
Rcpp (≥ 1.0.5), tidyr, ggplot2, salso |
| LinkingTo: |
Rcpp, RcppArmadillo, testthat |
| Suggests: |
xml2, knitr, rmarkdown |
| Published: |
2023-05-16 |
| Author: |
Stephen Coleman [aut, cre],
Paul Kirk [aut],
Chris Wallace [aut] |
| Maintainer: |
Stephen Coleman <stcolema at tcd.ie> |
| BugReports: |
https://github.com/stcolema/batchmix/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/stcolema/batchmix |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Materials: |
README |
| CRAN checks: |
batchmix results |
Documentation:
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