Movatterモバイル変換

SFM: A Package for Analyzing Skew Factor Models

Generates Skew Factor Models data and applies Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Projected Principal Component (PPC), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods to estimate model parameters. It includes capabilities for calculating mean squared error, relative error, and sparsity of the loading matrix.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.

Version:	0.2.1
Depends:	R (≥ 3.5.0)
Imports:	MASS,SOPC,matrixcalc,sn, stats,psych
Suggests:	testthat (≥ 3.0.0),ggplot2
Published:	2025-04-15
DOI:	10.32614/CRAN.package.SFM
Author:	Guangbao Guo [aut, cre], Yu Jin [aut]
Maintainer:	Guangbao Guo <ggb11111111 at 163.com>
License:	MIT + fileLICENSE
NeedsCompilation:	no
Language:	en-US
CRAN checks:	SFM results

Documentation:

Reference manual:

SFM.html ,SFM.pdf

Downloads:

Package source:	SFM_0.2.1.tar.gz
Windows binaries:	r-devel:SFM_0.2.1.zip, r-release:SFM_0.2.1.zip, r-oldrel:SFM_0.2.1.zip
macOS binaries:	r-release (arm64):SFM_0.2.1.tgz, r-oldrel (arm64):SFM_0.2.1.tgz, r-release (x86_64):SFM_0.2.1.tgz, r-oldrel (x86_64):SFM_0.2.1.tgz
Old sources:	SFM archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=SFMto link to this page.