Package: EFM 1.3.0

EFM: Elliptical Factor Models

The elliptical factor model, as an extension of the traditional factor model, effectively overcomes the limitations of the traditional model when dealing with heavy-tailed characteristic data. This package implements sparse principal component methods (SPC) and bi-sparse online principal component estimation (SPOC) for parameter estimation. Includes functionality for calculating mean squared error, relative error, and loading matrix sparsity.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.

Authors:Guangbao Guo [aut, cre], Yuanyuan Zhou [aut]

EFM_1.3.0.tar.gz
EFM_1.3.0.zip(r-4.7-any)EFM_1.3.0.zip(r-4.6-any)EFM_1.3.0.zip(r-4.5-any)
EFM_1.3.0.tgz(r-4.6-any)EFM_1.3.0.tgz(r-4.5-any)
EFM_1.3.0.tar.gz(r-4.7-any)EFM_1.3.0.tar.gz(r-4.6-any)
EFM_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EFM/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 3 scripts 298 downloads 6 exports 6 dependencies

Last updated from:8b08f93fa3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK91
source / vignettesOK168
linux-releaseOK93
macos-releaseOK86
macos-oldrelOK80
windows-develOK66
windows-releaseOK62
windows-oldrelOK74
wasm-releaseOK80

Exports:EFMelliptical_errorsFanPC.EFMPC1.EFMPPC1.EFMSOPC.EFM

Dependencies:elasticnetlarsmagrittrMASSmatrixcalcSOPC