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CFM (version 0.8.0)

Analyzing Censored Factor Models

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) .

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Version

Install

install.packages('CFM')

Monthly Downloads

155

Version

0.8.0

License

MIT + file LICENSE

Maintainer

Guangbao Guo

Last Published

December 7th, 2025

Functions in CFM (0.8.0)

censored_kernel_factor_model

Kernel Censored Factor Model
bcdata

Boundary Condition Dataset
FanPC.CFM

Censored Factor Analysis via Principal Component (FanPC, pure R)
censored_factor_model

Robust Censored Factor Model
PPC2.CFM

PPC2 for censored factor models (Top-2 principal components, pure R)
censored_factor_models

Basic censored-factor data simulator
incremental_censored_factor_model

Incremental Censored Factor Model
Aids2

Aids2 Dataset
CFM

Censored Factor Models Data Generation
yoghurt

Yoghurt Dataset
weighted_censored_factor_model

Weighted Censored Factor Model
PC2.CFM

PC2 for censored factor models (Top-2 principal components, pure R)