Package: vmrseq Type: Package Title: Probabilistic Modeling of Single-cell Methylation Heterogeneity Version: 1.5.0 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.r-universe.dev Date/Publication: 2026-04-28 13:04:53 UTC RemoteUrl: https://github.com/bioc/vmrseq RemoteRef: HEAD RemoteSha: 350bbc11e7fd7c7e02eee54cff1cf5d9f293a40c NeedsCompilation: no Packaged: 2026-05-31 06:56:34 UTC; root Author: Ning Shen [aut, cre] Maintainer: Ning Shen