peppwR: Power Analysis for Phosphopeptide Abundance Hypothesis Test

Estimate best fit distributions and do power analysis for hypothesis tests on phosphopeptide abundance data.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: cowplot, dplyr, fitdistrplus, ggplot2, methods, purrr, RColorBrewer, scales, tibble, tidyr, univariateML
Suggests: bench, knitr, pkgdown, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-03-30
DOI: 10.32614/CRAN.package.peppwR (may not be active yet)
Author: Dan MacLean [aut, cre]
Maintainer: Dan MacLean <dan.maclean at tsl.ac.uk>
BugReports: https://github.com/TeamMacLean/peppwR/issues
License: MIT + file LICENSE
URL: https://teammaclean.github.io/peppwR/, https://github.com/TeamMacLean/peppwR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: peppwR results

Documentation:

Reference manual: peppwR.html , peppwR.pdf
Vignettes: How to find the best fitting distribution (source, R code)
Getting Started with peppwR (source, R code)

Downloads:

Package source: peppwR_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): peppwR_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): peppwR_0.1.0.tgz, r-oldrel (x86_64): peppwR_0.1.0.tgz

Linking:

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