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DESCRIPTION
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DESCRIPTION
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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: 7.2.3
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)