Package: SparseMDC
Type: Package
Title: Implementation of SparseMDC Algorithm
Version: 0.99.5
Authors@R: c(
    person("Martin", "Barron", email = "mbarron2@nd.edu",role = c("aut")),
    person("Jun", "Li", email = "jun.li@nd.edu",role = c("aut","cre"))
    )
Description: Implements the algorithm described in Barron, M., and Li,
        J. (Not yet published). This algorithm clusters samples from
        multiple ordered populations, links the clusters across the
        conditions and identifies marker genes for these changes. The
        package was designed for scRNA-Seq data but is also applicable
        to many other data types, just replace cells with samples and
        genes with variables. The package also contains functions for
        estimating the parameters for SparseMDC as outlined in the
        paper. We recommend that users further select their marker
        genes using the magnitude of the cluster centers.
License: GPL-3
Imports: stats, foreach, parallel, doParallel
Depends: R (>= 3.1.0), doRNG
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-04 06:52:05 UTC; root
Author: Martin Barron [aut], Jun Li [aut, cre]
Maintainer: Jun Li <jun.li@nd.edu>
Repository: https://jli-stat.r-universe.dev
Date/Publication: 2018-08-02 11:40:16 UTC
RemoteUrl: https://github.com/cran/SparseMDC
RemoteRef: HEAD
RemoteSha: d7f74c854894a0a95815dbf93a4afd6aedd7b1a7