Package: countsplit 4.0.2

Anna Neufeld
countsplit: Splitting a Count Matrix into Independent Folds
Implements the count splitting methodology from Neufeld et al. (2022) <doi:10.1093/biostatistics/kxac047> and Neufeld et al. (2023) <arxiv:2307.12985>. Intended for turning a matrix of single-cell RNA sequencing counts, or similar count datasets, into independent folds that can be used for training/testing or cross validation. Assumes that the entries in the matrix are from a Poisson or a negative binomial distribution.
Authors:
countsplit_4.0.2.tar.gz
countsplit_4.0.2.zip(r-4.7)countsplit_4.0.2.zip(r-4.6)countsplit_4.0.2.zip(r-4.5)
countsplit_4.0.2.tgz(r-4.6-x86_64)countsplit_4.0.2.tgz(r-4.6-arm64)countsplit_4.0.2.tgz(r-4.5-x86_64)countsplit_4.0.2.tgz(r-4.5-arm64)
countsplit_4.0.2.tar.gz(r-4.7-arm64)countsplit_4.0.2.tar.gz(r-4.7-x86_64)countsplit_4.0.2.tar.gz(r-4.6-arm64)countsplit_4.0.2.tar.gz(r-4.6-x86_64)
countsplit_4.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
countsplit/json (API)
NEWS
| # Install 'countsplit' in R: |
| install.packages('countsplit', repos = c('https://anna-neufeld.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/anna-neufeld/countsplit/issues
Last updated from:a9e9ad2144. Checks:11 ERROR, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | ERROR | 140 | ||
| linux-devel-x86_64 | ERROR | 129 | ||
| source / vignettes | OK | 194 | ||
| linux-release-arm64 | ERROR | 114 | ||
| linux-release-x86_64 | ERROR | 126 | ||
| macos-release-arm64 | ERROR | 123 | ||
| macos-release-x86_64 | ERROR | 207 | ||
| macos-oldrel-arm64 | ERROR | 92 | ||
| macos-oldrel-x86_64 | ERROR | 170 | ||
| windows-devel | ERROR | 121 | ||
| windows-release | ERROR | 105 | ||
| windows-oldrel | ERROR | 114 | ||
| wasm-release | OK | 100 |
Exports:countsplitest_overdispersions
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Count splitting | countsplit |
| Estimate overdispersion parameters | est_overdispersions |