Package: BPRMeth
Type: Package
Title: Model higher-order methylation profiles
Version: 1.22.0
Authors@R: person("C. A.", "Kapourani", email = "kapouranis.andreas@gmail.com",
                  role = c("aut", "cre"))
Author: Chantriolnt-Andreas Kapourani [aut, cre]
Maintainer: Chantriolnt-Andreas Kapourani <kapouranis.andreas@gmail.com>
Description: The BPRMeth package is a probabilistic method to quantify explicit 
    features of methylation profiles, in a way that would make it easier to 
    formally use such profiles in downstream modelling efforts, such as 
    predicting gene expression levels or clustering genomic regions or cells 
    according to their methylation profiles.
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0), GenomicRanges
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: assertthat, methods, MASS, doParallel, parallel, e1071, earth,
        foreach, randomForest, stats, IRanges, S4Vectors, data.table,
        graphics, truncnorm, mvtnorm, Rcpp (>= 0.12.14), matrixcalc,
        magrittr, kernlab, ggplot2, cowplot, BiocStyle
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
biocViews: ImmunoOncology, DNAMethylation, GeneExpression,
        GeneRegulation, Epigenetics, Genetics, Clustering,
        FeatureExtraction, Regression, RNASeq, Bayesian, KEGG,
        Sequencing, Coverage, SingleCell
git_url: https://git.bioconductor.org/packages/BPRMeth
git_branch: RELEASE_3_15
git_last_commit: f29c5f1
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: yes
Packaged: 2022-04-26 21:42:30 UTC; biocbuild
Built: R 4.2.0; x86_64-w64-mingw32; 2022-04-27 09:13:43 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
