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) .
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0.8.0 by Guangbao Guo, 10 months ago
Browse source code at https://github.com/cran/CFM
Authors: Guangbao Guo [aut, cre] , Tong Meng [aut]
Documentation: PDF Manual
MIT + file LICENSE license
Imports stats, MASS, psych, matrixcalc, crch, Matrix, pracma, RSpectra, kernlab, mvtnorm, robustbase, truncnorm
Suggests testthat, ggplot2
See at CRAN