Package: batchmix
Type: Package
Title: Semi-Supervised Bayesian Mixture Models Incorporating Batch
        Correction
License: GPL-3
Version: 1.0.1
Authors@R: c(person(given = "Stephen", family = "Coleman",
                    email = "stephen.coleman@mrc-bsu.cam.ac.uk",
                    role = c("aut","cre")),
             person(given = "Paul", family ="Kirk",
                    email = "paul.kirk@mrc-bsu.cam.ac.uk",
                    role = "aut"),
             person(given = "Chris", family ="Wallace",
                    email = "cew54@cam.ac.uk",
                    role = "aut"))
Description: 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.
Imports: Rcpp (>= 1.0.5), tidyr, ggplot2
LinkingTo: Rcpp, RcppArmadillo, testthat
Suggests: xml2, knitr, rmarkdown
SystemRequirements: GNU make
Encoding: UTF-8
URL: https://github.com/stcolema/batchmix
BugReports: https://github.com/stcolema/batchmix/issues
RoxygenNote: 7.2.0
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2022-06-18 17:44:45 UTC; stephen
Author: Stephen Coleman [aut, cre],
  Paul Kirk [aut],
  Chris Wallace [aut]
Maintainer: Stephen Coleman <stephen.coleman@mrc-bsu.cam.ac.uk>
Repository: CRAN
Date/Publication: 2022-06-21 10:30:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 19:27:57 UTC; windows
Archs: i386, x64
