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.
- Version0.7.0
- R versionR (≥ 3.5.0)
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Languageen-US
- Last release11/14/2025
Team
Guangbao Guo
MaintainerShow author detailsTong Meng
Show author detailsRolesAuthor
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