DESCRIPTION

Package: MPLNClust
Type: Package
Title: Mixtures of Multivariate Poisson-Log Normal Model for Clustering Count Data
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 clustering using mixtures of multivariate Poisson-log normal distribution
    and model selection using AIC, AIC3, BIC and ICL. Permit to visualize clustering results.
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0),
         Rcpp (>= 0.12.0)
biocViews: Software, StatisticalMethod
Imports: 
    alluvial,
    coda,
    capushe,
    cluster,
    clusterGeneration,
    dplyr,
    edgeR,
    gplots,
    ggplot2,
    grDevices,
    MASS,
    mclust,
    mvtnorm,
    randomcoloR,
    RColorBrewer,
    reshape, 
    rstan (>= 2.18.1),
    parallel,
    pheatmap,
    shiny
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Suggests: 
    testthat,
    knitr,
    rmarkdown,
    MBCluster.Seq,
    Biostrings
License: MIT + file LICENSE
VignetteBuilder: knitr
URL: https://github.com/anjalisilva/MPLNClust
LinkingTo: 
  StanHeaders (>= 2.18.0),
  rstan (>= 2.18.1),
  BH (>= 1.66.0-1), 
  Rcpp (>= 0.12.0),
  RcppEigen (>= 0.3.3.4.0)