Package: DMRScan
Title: Detection of Differentially Methylated Regions
Version: 1.4.6
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 (>= 3.4.0)
Imports: Matrix, MASS, RcppRoll,GenomicRanges, IRanges, 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: 6.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/christpa/DMRScan
BugReports: https://github.com/christpa/DMRScan/issues
NeedsCompilation: no
Packaged: 2017-12-23 02:44:21 UTC; biocbuild
Built: R 3.4.3; ; 2017-12-23 04:47:18 UTC; windows
