Package: vmrseq
Type: Package
Title: Probabilistic Modeling of Single-cell Methylation Heterogeneity
Version: 1.4.0
Authors@R: person("Ning", "Shen", email = "ning.shen.wk@gmail.com",role = c("aut", "cre"))
Description: High-throughput single-cell measurements of DNA
        methylation allows studying inter-cellular epigenetic
        heterogeneity, but this task faces the challenges of sparsity
        and noise. We present vmrseq, a statistical method that
        overcomes these challenges and identifies variably methylated
        regions accurately and robustly.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
biocViews: Software, ImmunoOncology, DNAMethylation, Epigenetics,
        SingleCell, Sequencing, WholeGenome
Depends: R (>= 4.5.0)
Imports: bumphunter, dplyr, BiocParallel, DelayedArray, GenomicRanges,
        ggplot2, methods, tidyr, locfit, gamlss.dist, recommenderlab,
        HDF5Array, data.table, SummarizedExperiment, IRanges,
        S4Vectors, devtools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/nshen7/vmrseq
BugReports: https://github.com/nshen7/vmrseq/issues
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev
        libfribidi-dev git make libharfbuzz-dev libbz2-dev libgit2-dev
        libicu-dev libjpeg-dev liblzma-dev libpng-dev libtiff-dev
        libuv1-dev libwebp-dev libxml2-dev libssl-dev libx11-dev
        xz-utils zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 13:04:53 UTC
RemoteUrl: https://github.com/bioc/vmrseq
RemoteRef: RELEASE_3_23
RemoteSha: 4b0c9831aa42cc0c62cc1a6515e6f9eb57d0a473
NeedsCompilation: no
Packaged: 2026-04-30 07:05:57 UTC; root
Author: Ning Shen [aut, cre]
Maintainer: Ning Shen <ning.shen.wk@gmail.com>
Built: R 4.6.0; ; 2026-04-30 07:15:21 UTC; windows
