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)
- Version2.2.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/21/2024
Documentation
Team
Stephen Coleman
Paul Kirk
Show author detailsRolesAuthorChris Wallace
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports4 packages
- Suggests3 packages
- Linking To2 packages