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 |
Reference manual: | CFM.html , CFM.pdf |
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): 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 |
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