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.
- Version2.2.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/21/2024
Documentation
Team
Stephen Coleman
Chris Wallace
Show author detailsRolesAuthorPaul Kirk
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 303 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
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Last 365 days
This package has been downloaded 4,128 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was May 22, 2024 with 67 downloads.
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Dependencies
- Imports4 packages
- Suggests3 packages
- Linking To2 packages