glmpca
0.2.0Dimension Reduction of Non-Normally Distributed Data
Overview
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) arXiv:1907.02647.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 85%
- Return-value docs
- 100%
- References docs
- 50%
Downloads
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2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/willtownes/glmpca on 2026-08-16.
Dependencies
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.2.0Latest
- RR 4.0.0 released · 2020-04-24
- 0.1.02019-09-27
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-09-27
- Total releases
- 2 / 7 yrs
- License
- LGPL (>= 3) | file LICENSE OSI
- Minimum R
- ≥ 3.5
- Download size
- 163 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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Cite this package
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