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: | 0.8.0 |
| 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: | 2025-12-07 |
| DOI: | 10.32614/CRAN.package.CFM |
| Author: | Guangbao Guo [aut, cre], Tong Meng [aut] |
| Maintainer: | Guangbao Guo <ggb11111111 at 163.com> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Language: | en-US |
| CRAN checks: | CFM results |
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