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) doi:10.1016/B978-0-444-64165-6.03029-9.
- Version0.0.1
- R version≥ 2.10
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release11/05/2020
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Team
Renan Santos Barbosa
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- Imports3 packages
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