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
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 173 downloads 6 exports 6 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK160
linux-release-x86_64OK107
macos-release-arm64OK83
macos-oldrel-arm64OK90
windows-develOK112
windows-releaseOK80
windows-oldrelOK75
wasm-releaseOK101

Exports:EFMelliptical_errorsFanPC.EFMPC1.EFMPPC1.EFMSOPC.EFM

Dependencies:elasticnetlarsmagrittrMASSmatrixcalcSOPC