Package: CFM
Type: Package
Title: Analyzing Censored Factor Models
Version: 0.8.0
Authors@R: c(person(given = "Guangbao", family = "Guo", role = c("aut", "cre"), email = "ggb11111111@163.com"),
    person(given = "Tong", family = "Meng", role = "aut", email = "tongm0601@163.com"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
Imports: stats, MASS, psych, matrixcalc, crch, Matrix, pracma,
        RSpectra, kernlab, mvtnorm, robustbase, truncnorm
Suggests: testthat (>= 3.0.0), ggplot2
NeedsCompilation: no
Packaged: 2025-12-03 16:28:16 UTC; 86188
RoxygenNote: 7.3.3
Author: Guangbao Guo [aut, cre],
  Tong Meng [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Date/Publication: 2025-12-07 07:10:02 UTC
Built: R 4.6.0; ; 2026-04-28 15:26:43 UTC; unix
