Package: DMRScan
Title: Detection of Differentially Methylated Regions
Version: 1.0.0
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 (>= 3.4.0)
Imports: Matrix, MASS, RcppRoll, ggplot2, 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: 5.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-04-25 01:48:41 UTC; biocbuild
Built: R 3.4.0; ; 2017-04-25 03:37:44 UTC; windows
