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:	0.6.0
Depends:	R (≥ 3.5.0)
Imports:	stats, MASS, psych, matrixcalc, crch
Suggests:	testthat (≥ 3.0.0), ggplot2
Published:	2025-10-22
DOI:	10.32614/CRAN.package.CFM (may not be active yet)
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_0.6.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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