DESCRIPTION

Package: mixMVPLN
Type: Package
Title: Mixtures of Matrix Variate Poisson-log Normal Distributions
Version: 0.1.0
Authors@R: c(
    person("Anjali", "Silva", email = "anjali.silva@uhnresearch.ca", role = c("aut", "cre")),
    person("Sanjeena", "Dang", role = "aut")
    )
Maintainer: Anjali Silva <anjali.silva@uhnresearch.ca>
Description: Performs model-based clustering using mixtures of matrix variate Poisson-log 
    normal (MVPLN) model. Markov chain Monte Carlo expectation-maximization algorithm 
    (MCMC-EM) is used for parameter estimation. Information criteria (AIC, BIC, AIC3 and 
    ICL) are offered for model selection.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Depends: R (>= 3.4.0),
         Rcpp (>= 0.12.0)
biocViews: Software, StatisticalMethod         
Imports: 
    coda,
    cluster,
    edgeR,
    ggplot2,
    mclust,
    mvtnorm,
    RColorBrewer, 
    reshape,
    rstan (>= 2.18.1),
    parallel,
    shiny,
    utils
Suggests: 
    testthat,
    knitr,
    rmarkdown,
    shinyalert
VignetteBuilder: knitr
LinkingTo: 
    StanHeaders (>= 2.18.0),
    rstan (>= 2.18.1),
    BH (>= 1.66.0-1),
    Rcpp,
    RcppEigen (>= 0.3.3.4.0)