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CFM  

Analyzing Censored Factor Models
View on CRAN: Click here


Download and install CFM package within the R console
Install from CRAN:
install.packages("CFM")

Install from Github:
library("remotes")
install_github("cran/CFM")

Install by package version:
library("remotes")
install_version("CFM", "0.8.0")



Attach the package and use:
library("CFM")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-22
Latest Update: 2025-10-22
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>.
How to cite:
Guangbao Guo (2025). CFM: Analyzing Censored Factor Models. R package version 0.8.0, https://cran.r-project.org/web/packages/CFM. Accessed 25 Oct. 2026.
Previous versions and publish date:
0.6.0 (2025-10-22 20:50), 0.7.0 (2025-11-14 01:00), (2026-07-09 07:59)
Other packages that cited CFM R package
View CFM citation profile
Other R packages that CFM depends, imports, suggests or enhances
Complete documentation for CFM
Functions, R codes and Examples using the CFM R package
Full CFM package functions and examples
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