Package: nipals 1.0
nipals: Principal Components Analysis using NIPALS or Weighted EMPCA, with Gram-Schmidt Orthogonalization
Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares or weighted Expectation Maximization PCA with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) <doi:10.1089/cmb.2008.0221>.
Authors:
nipals_1.0.tar.gz
nipals_1.0.zip(r-4.6)nipals_1.0.zip(r-4.5)nipals_1.0.zip(r-4.4)
nipals_1.0.tgz(r-4.5-any)
nipals_1.0.tar.gz(r-4.6-any)nipals_1.0.tar.gz(r-4.5-any)
nipals_1.0.tgz(r-4.5-emscripten)
nipals.pdf |nipals.html✨
nipals/json (API)
NEWS
| # Install 'nipals' in R: |
| install.packages('nipals', repos = c('https://kwstat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kwstat/nipals/issues
Pkgdown/docs site:https://kwstat.github.io
- uscrime - U.S. Crime rates per 100,00 people
Last updated from:b591ff1c37. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Total time | Artifact |
|---|---|---|---|
| linux-devel-x86_64 | NOTE | 113 | |
| source / vignettes | OK | 163 | |
| linux-release-x86_64 | NOTE | 110 | |
| macos-release-arm64 | NOTE | 90 | |
| macos-oldrel-arm64 | NOTE | 111 | |
| windows-devel | NOTE | 66 | |
| windows-release | NOTE | 148 | |
| windows-oldrel | NOTE | 81 | |
| wasm-release | OK | 82 |
Exports:avg_angular_distanceempcanipals
Dependencies:
Comparing results and performance of NIPALS functions in R
Rendered fromnipals_comparisons.Rmdusingknitr::rmarkdownon Dec 03 2025.Last update: 2024-12-02
Started: 2017-10-30
EMPCA notes
Rendered fromempca_notes.Rmdusingknitr::rmarkdownon Dec 03 2025.Last update: 2024-12-02
Started: 2020-01-20
The NIPALS algorithm
Rendered fromnipals_algorithm.Rmdusingknitr::rmarkdownon Dec 03 2025.Last update: 2024-12-02
Started: 2017-10-31
NIPALS optimization notes
Rendered fromnipals_optimization.Rmdusingknitr::rmarkdownon Dec 03 2025.Last update: 2024-01-26
Started: 2017-10-31
