The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| 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 |
| Reference manual: | peppwR.html , peppwR.pdf |
| Vignettes: |
How to find the best fitting distribution (source, R code) Getting Started with peppwR (source, R code) |
| Package source: | peppwR_0.1.0.tar.gz |
| Windows binaries: | r-devel: peppwR_0.1.0.zip, r-release: peppwR_0.1.0.zip, 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 |
Please use the canonical form https://CRAN.R-project.org/package=peppwR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.