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:Toby Kenney [aut, cre], Tianshu Huang [aut]

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PoissonPCA.pdf |PoissonPCA.html✨
PoissonPCA/json (API)

# Install 'PoissonPCA' in R:
install.packages('PoissonPCA', repos = c('https://tjk23.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 9 scripts 655 downloads 11 exports 0 dependencies

Last updated 3 years agofrom:dfdf36ffab. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-win-x86_64OKOct 31 2024
R-4.5-linux-x86_64OKOct 31 2024
R-4.4-win-x86_64OKOct 31 2024
R-4.4-mac-x86_64OKOct 31 2024
R-4.4-mac-aarch64OKOct 31 2024
R-4.3-win-x86_64OKOct 31 2024
R-4.3-mac-x86_64OKOct 31 2024
R-4.3-mac-aarch64OKOct 31 2024

Exports:get_scoresget_scores_logLinearCorrectedVarianceLinearCorrectedVarianceSeqDepthmake_compositional_min_varmake_compositional_variancemakelogtransformationPoisson_Corrected_PCApolynomial_transformationTransformedVarianceTransformedVarianceECV

Dependencies:

totalcovariance

Rendered fromPoissonPCA.Rnwusingutils::Sweaveon Oct 31 2024.

Last update: 2019-05-01
Started: 2019-05-01