RMLPCA
Maximum Likelihood Principal Component Analysis
R implementation of Maximum Likelihood Principal Component Analysis The main idea of this package is to have an alternative way of PCA for subspace modeling that considers measurement errors. More details can be found in Peter D. Wentzell (2009)
- Version0.0.1
- R version≥ 2.10
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release11/05/2020
Documentation
Team
Renan Santos Barbosa
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Dependencies
- Depends1 package
- Imports4 packages
- Suggests3 packages