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.
- Version0.8
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release09/15/2021
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Kevin Wright
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