The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
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: 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_0.6.0.tgz, r-oldrel (x86_64): CFM_0.6.0.tgz

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.