glmpca
Dimension Reduction of Non-Normally Distributed Data
Implements a generalized version of principal components analysis (GLM-PCA) for dimension reduction of non-normally distributed data such as counts or binary matrices. Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) doi:10.1186/s13059-019-1861-6. Townes FW (2019) doi:10.48550/arXiv.1907.02647.
- Version0.2.0
- R versionunknown
- LicenseLGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) doi:10.1186/s13059-019-1861-6
- Townes FW (2019) doi:10.48550/arXiv.1907.02647
- Last release07/18/2020
Documentation
Team
F. William Townes
Kelly Street
Show author detailsRolesAuthorJake Yeung
Show author detailsRolesContributor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Suggests7 packages
- Reverse Imports2 packages