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-any)RMLPCA_0.0.1.zip(r-4.6-any)RMLPCA_0.0.1.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
RMLPCA/json (API)

# 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:

3.00 score 2 stars 1 scripts 244 downloads 4 exports 6 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK127
source / vignettesOK313
linux-releaseOK266
macos-releaseOK288
macos-oldrelOK258
windows-develOK148
windows-releaseOK367
windows-oldrelOK147
wasm-releaseOK244

Exports:mlpca_bmlpca_cmlpca_dmlpca_e

Dependencies:latticeMatrixpracmaRcppRcppEigenRSpectra