Package: DMRScan
Title: Detection of Differentially Methylated Regions
Version: 1.33.0
Authors@R: c( person("CM", "Page", email = "page.ntnu@gmail.com", role =
    c("aut","cre")), person("L", "Vos", email = "Linda.Vos@Kreftregisteret.no",
    role = "aut"), person("TB", "Rounge", email = "", role = "ctb"), person("HF", "Harbo", email = "", role = "ths"), 
	person("BK", "Andreassen", email = "Bettina.Kulle.Andreassen@Kreftregisteret.no", role = "aut"))
Description: This package detects significant differentially methylated
        regions (for both qualitative and quantitative traits), using a
        scan statistic with underlying Poisson heuristics. The scan
        statistic will depend on a sequence of window sizes (# of CpGs
        within each window) and on a threshold for each window size.
        This threshold can be calculated by three different means: i)
        analytically using Siegmund et.al (2012) solution (preferred),
        ii) an important sampling as suggested by Zhang (2008), and a
        iii) full MCMC modeling of the data, choosing between a number
        of different options for modeling the dependency between each
        CpG.
biocViews: Software, Technology, Sequencing, WholeGenome
Depends: R (>= 3.6.0)
Imports: Matrix, MASS, RcppRoll,GenomicRanges, IRanges, Seqinfo,
        methods, mvtnorm, stats, parallel
License: GPL-3
LazyData: true
Author: Christian M Page [aut, cre], Linda Vos [aut], Trine B Rounge
        [ctb, dtc], Hanne F Harbo [ths], Bettina K Andreassen [aut]
Maintainer: Christian M Page <page.ntnu@gmail.com>
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, BiocStyle, BiocManager
VignetteBuilder: knitr
URL: https://github.com/christpa/DMRScan
BugReports: https://github.com/christpa/DMRScan/issues
PackageStatus: Active
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:36:23 UTC
RemoteUrl: https://github.com/bioc/DMRScan
RemoteRef: HEAD
RemoteSha: 66ea55e060616490b81a72d6126ddd7ee03b1d26
NeedsCompilation: no
Packaged: 2026-02-21 07:04:23 UTC; root
Built: R 4.6.0; ; 2026-02-21 07:05:50 UTC; windows
