For a multivariate dataset with independent Poisson measurement error, calculates principal components of transformed latent Poisson means. T. Kenney, T. Huang, H. Gu (2019) <doi:10.48550/arXiv.1904.11745>.
| Version: | 1.0.3 |
| Depends: | R (≥ 3.2.3) |
| Published: | 2021-08-17 |
| DOI: | 10.32614/CRAN.package.PoissonPCA |
| Author: | Toby Kenney [aut, cre], Tianshu Huang [aut] |
| Maintainer: | Toby Kenney <tkenney at mathstat.dal.ca> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Citation: | PoissonPCA citation info |
| CRAN checks: | PoissonPCA results |
| Reference manual: | PoissonPCA.pdf |
| Vignettes: |
totalcovariance |
| Package source: | PoissonPCA_1.0.3.tar.gz |
| Windows binaries: | r-devel: PoissonPCA_1.0.3.zip, r-release: PoissonPCA_1.0.3.zip, r-oldrel: PoissonPCA_1.0.3.zip |
| macOS binaries: | r-release (arm64): PoissonPCA_1.0.3.tgz, r-oldrel (arm64): PoissonPCA_1.0.3.tgz, r-release (x86_64): PoissonPCA_1.0.3.tgz, r-oldrel (x86_64): PoissonPCA_1.0.3.tgz |
| Old sources: | PoissonPCA archive |
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