Package: EMMIXgene
Type: Package
Version: 0.1.4
Title: A Mixture Model-Based Approach to the Clustering of Microarray
        Expression Data
Description: Provides unsupervised selection and clustering of
        microarray data using mixture models. Following the methods
        described in McLachlan, Bean and Peel (2002)
        <doi:10.1093/bioinformatics/18.3.413> a subset of genes are
        selected based one the likelihood ratio statistic for the test
        of one versus two components when fitting mixtures of
        t-distributions to the expression data for each gene. The
        dimensionality of this gene subset is further reduced through
        the use of mixtures of factor analyzers, allowing the tissue
        samples to be clustered by fitting mixtures of normal
        distributions.
Encoding: UTF-8
Authors@R: c(person(given = "Andrew Thomas", family = "Jones", 
           email = "andrewthomasjones@gmail.com", 
           role = c("aut", "cre")))
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>
License: GPL (>= 3)
LazyData: TRUE
Depends: R(>= 3.3.0)
LinkingTo: Rcpp, RcppArmadillo, BH
Imports: Rcpp, stats, mclust, reshape, ggplot2, scales, tools
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2026-07-04 16:11:21 UTC; root
Author: Andrew Thomas Jones [aut, cre]
Repository: https://andrewthomasjones.r-universe.dev
Date/Publication: 2024-01-22 02:43:14 UTC
RemoteUrl: https://github.com/cran/EMMIXgene
RemoteRef: HEAD
RemoteSha: 1ac8dc57139fdb2d7b2971622933f0ddaea5cfe8