rBiasCorrection: Correct Bias in DNA Methylation Analyses

Implementation of the algorithms (with minor modifications) to correct bias in quantitative DNA methylation analyses as described by Moskalev et al. (2011) <doi:10.1093/nar/gkr213>.

Version: 0.2.4
Depends: R (≥ 2.10)
Imports: data.table, future, future.apply, ggplot2, ggpubr, magrittr, nls2, polynom, stats
Suggests: knitr, lintr, microbenchmark, rmarkdown, testthat
Published: 2020-11-16
Author: Lorenz A. Kapsner ORCID iD [cre, aut, cph], Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner at gmail.com>
BugReports: https://github.com/kapsner/rBiasCorrection/issues
License: GPL-3
URL: https://github.com/kapsner/rBiasCorrection
NeedsCompilation: no
Materials: README
CRAN checks: rBiasCorrection results


Reference manual: rBiasCorrection.pdf
Vignettes: rBiasCorrection: Benchmarking
Package source: rBiasCorrection_0.2.4.tar.gz
Windows binaries: r-devel: rBiasCorrection_0.2.4.zip, r-release: rBiasCorrection_0.2.4.zip, r-oldrel: rBiasCorrection_0.2.4.zip
macOS binaries: r-release: rBiasCorrection_0.2.4.tgz, r-oldrel: rBiasCorrection_0.2.4.tgz
Old sources: rBiasCorrection archive

Reverse dependencies:

Reverse imports: BiasCorrector


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