TFM: Sparse Online Principal Component for Truncated Factor Model

The Truncated Factor Model is a statistical model designed to handle specific data structures in data analysis. This R package focuses on the Sparse Online Principal Component Estimation method, which is used to calculate data such as the loading matrix and specific variance matrix for truncated data, thereby better explaining the relationship between common factors and original variables. Additionally, the R package also provides other equations for comparison with the Sparse Online Principal Component Estimation method.The philosophy of the package is described in thesis. (2023) <doi:10.1007/s00180-022-01270-z>.

Version:	0.2.0
Depends:	R (≥ 3.0)
Imports:	relliptical, SOPC, MASS, mvtnorm, matrixcalc
Suggests:	rmarkdown, psych
Published:	2025-02-26
Author:	Beibei Wu [aut], Guangbao Guo [aut, cre]
Maintainer:	Guangbao Guo <ggb11111111 at 163.com>
License:	MIT + file LICENSE
NeedsCompilation:	yes
Language:	en-US
CRAN checks:	TFM results

Documentation:

Reference manual:

TFM.pdf

Downloads:

Package source:	TFM_0.2.0.tar.gz
Windows binaries:	r-devel: TFM_0.1.0.zip, r-release: TFM_0.1.0.zip, r-oldrel: TFM_0.1.0.zip
macOS binaries:	r-devel (arm64): TFM_0.2.0.tgz, r-release (arm64): TFM_0.2.0.tgz, r-oldrel (arm64): TFM_0.2.0.tgz, r-devel (x86_64): TFM_0.2.0.tgz, r-release (x86_64): TFM_0.2.0.tgz, r-oldrel (x86_64): TFM_0.2.0.tgz
Old sources:	TFM archive

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