Package: PoissonPCA 1.0.3
PoissonPCA: Poisson-Noise Corrected PCA
For a multivariate dataset with independent Poisson measurement error, calculates principal components of transformed latent Poisson means. T. Kenney, T. Huang, H. Gu (2019) <arxiv:1904.11745>.
Authors:
PoissonPCA_1.0.3.tar.gz
PoissonPCA_1.0.3.zip(r-4.7-x86_64)PoissonPCA_1.0.3.zip(r-4.7-arm64)PoissonPCA_1.0.3.zip(r-4.6-x86_64)PoissonPCA_1.0.3.zip(r-4.6-arm64)PoissonPCA_1.0.3.zip(r-4.5-x86_64)
PoissonPCA_1.0.3.tgz(r-4.6-x86_64)PoissonPCA_1.0.3.tgz(r-4.6-arm64)PoissonPCA_1.0.3.tgz(r-4.5-x86_64)PoissonPCA_1.0.3.tgz(r-4.5-arm64)
PoissonPCA_1.0.3.tar.gz(r-4.7-arm64)PoissonPCA_1.0.3.tar.gz(r-4.7-x86_64)PoissonPCA_1.0.3.tar.gz(r-4.6-arm64)PoissonPCA_1.0.3.tar.gz(r-4.6-x86_64)
PoissonPCA_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PoissonPCA/json (API)
| # Install 'PoissonPCA' in R: |
| install.packages('PoissonPCA', repos = c('https://tjk23.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:dfdf36ffab. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 96 | ||
| linux-devel-x86_64 | OK | 106 | ||
| source / vignettes | OK | 200 | ||
| linux-release-arm64 | OK | 96 | ||
| linux-release-x86_64 | OK | 101 | ||
| macos-release-arm64 | OK | 77 | ||
| macos-release-x86_64 | OK | 273 | ||
| macos-oldrel-arm64 | OK | 67 | ||
| macos-oldrel-x86_64 | OK | 174 | ||
| windows-devel-arm64 | OK | 207 | ||
| windows-devel-x86_64 | OK | 94 | ||
| windows-release-arm64 | OK | 182 | ||
| windows-release-x86_64 | OK | 82 | ||
| windows-oldrel-x86_64 | OK | 74 | ||
| wasm-release | OK | 91 |
Exports:get_scoresget_scores_logLinearCorrectedVarianceLinearCorrectedVarianceSeqDepthmake_compositional_min_varmake_compositional_variancemakelogtransformationPoisson_Corrected_PCApolynomial_transformationTransformedVarianceTransformedVarianceECV
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculates principal scores for Poisson-noise corrected PCA | get_scores get_scores_log |
| Estimates variance of a transformation of latent Poisson means | LinearCorrectedVariance LinearCorrectedVarianceSeqDepth TransformedVariance TransformedVarianceECV |
| Converts a covariance matrix to compositional form | make_compositional_min_var make_compositional_variance |
| constructs a log transformation for use with functions from the PoissoncorrectedPCA package. | makelogtransformation |
| PCA with Poisson measurement error | Poisson_Corrected_PCA |
| constructs a polynomial transformation for use with functions from the PoissoncorrectedPCA package. | polynomial_transformation |