CFM: Analyzing Censored Factor Models

Provides generation and estimation of censored factor models for high-dimensional data with censored errors (normal, t, logistic). Includes Sparse Orthogonal Principal Components (SOPC), and evaluation metrics. Based on Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.

Version:	0.7.0
Depends:	R (≥ 3.5.0)
Imports:	stats, MASS, psych, matrixcalc, crch, Matrix, pracma, RSpectra, kernlab, mvtnorm, robustbase, truncnorm
Suggests:	testthat (≥ 3.0.0), ggplot2
Published:	2025-11-14
DOI:	10.32614/CRAN.package.CFM
Author:	Guangbao Guo [aut, cre], Tong Meng [aut]
Maintainer:	Guangbao Guo <ggb11111111 at 163.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Language:	en-US
CRAN checks:	CFM results

Documentation:

Reference manual:

CFM.html , CFM.pdf

Downloads:

Package source:	CFM_0.7.0.tar.gz
Windows binaries:	r-devel: CFM_0.6.0.zip, r-release: CFM_0.6.0.zip, r-oldrel: CFM_0.6.0.zip
macOS binaries:	r-release (arm64): CFM_0.6.0.tgz, r-oldrel (arm64): CFM_0.6.0.tgz, r-release (x86_64): CFM_0.7.0.tgz, r-oldrel (x86_64): CFM_0.7.0.tgz
Old sources:	CFM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CFM to link to this page.