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)EFM_1.3.0.zip(r-4.6)EFM_1.3.0.zip(r-4.5)
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 175 downloads 6 exports 6 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK116
source / vignettesOK143
linux-release-x86_64OK118
macos-release-arm64OK79
macos-oldrel-arm64OK88
windows-develOK70
windows-releaseOK67
windows-oldrelOK75
wasm-releaseOK100

Exports:EFMelliptical_errorsFanPC.EFMPC1.EFMPPC1.EFMSOPC.EFM

Dependencies:elasticnetlarsmagrittrMASSmatrixcalcSOPC