Package: RMLPCA 0.0.1

Renan Santos Barbosa

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>.

Authors:Renan Santos Barbosa [aut, cre]

RMLPCA_0.0.1.tar.gz
RMLPCA_0.0.1.zip(r-4.7)RMLPCA_0.0.1.zip(r-4.6)RMLPCA_0.0.1.zip(r-4.5)
RMLPCA_0.0.1.tgz(r-4.6-any)RMLPCA_0.0.1.tgz(r-4.5-any)
RMLPCA_0.0.1.tar.gz(r-4.7-any)RMLPCA_0.0.1.tar.gz(r-4.6-any)
RMLPCA_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
RMLPCA/json (API)
NEWS

# Install 'RMLPCA' in R:
install.packages('RMLPCA', repos = c('https://renands.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/renanestatcamp/rmlpca/issues

Datasets:

On CRAN:

Conda:

3.15 score 2 stars 14 scripts 169 downloads 4 exports 6 dependencies

Last updated from:039d34002f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK156
source / vignettesOK164
linux-release-x86_64OK139
macos-release-arm64OK204
macos-oldrel-arm64OK183
windows-develOK153
windows-releaseOK143
windows-oldrelOK146
wasm-releaseOK99

Exports:mlpca_bmlpca_cmlpca_dmlpca_e

Dependencies:latticeMatrixpracmaRcppRcppEigenRSpectra