Package: nipals 0.9
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_0.9.tar.gz
nipals_0.9.zip(r-4.5)nipals_0.9.zip(r-4.4)nipals_0.9.zip(r-4.3)
nipals_0.9.tgz(r-4.4-any)nipals_0.9.tgz(r-4.3-any)
nipals_0.9.tar.gz(r-4.5-noble)nipals_0.9.tar.gz(r-4.4-noble)
nipals_0.9.tgz(r-4.4-emscripten)nipals_0.9.tgz(r-4.3-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
- uscrime - U.S. Crime rates per 100,00 people
Last updated 4 months agofrom:765bef02a7. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | NOTE | Nov 13 2024 |
| R-4.5-linux | NOTE | Nov 13 2024 |
| R-4.4-win | NOTE | Nov 13 2024 |
| R-4.4-mac | NOTE | Nov 13 2024 |
| R-4.3-win | NOTE | Nov 13 2024 |
| R-4.3-mac | NOTE | Nov 13 2024 |
Exports:avg_angular_distanceempcanipals
Dependencies:
Comparing results and performance of NIPALS functions in R
Rendered fromnipals_comparisons.Rmdusingknitr::rmarkdownon Nov 13 2024.Last update: 2020-01-20
Started: 2017-10-30
EMPCA notes
Rendered fromempca_notes.Rmdusingknitr::rmarkdownon Nov 13 2024.Last update: 2024-01-26
Started: 2020-01-20
The NIPALS algorithm
Rendered fromnipals_algorithm.Rmdusingknitr::rmarkdownon Nov 13 2024.Last update: 2020-01-20
Started: 2017-10-31
NIPALS optimization notes
Rendered fromnipals_optimization.Rmdusingknitr::rmarkdownon Nov 13 2024.Last update: 2024-01-26
Started: 2017-10-31
