Learn R Programming

EFM (version 1.3.0)

Elliptical Factor Models

Description

The elliptical factor model, as an extension of the traditional factor model, effectively overcomes the limitations of the traditional model when dealing with heavy-tailed characteristic data. This package implements sparse principal component methods (SPC) and bi-sparse online principal component estimation (SPOC) for parameter estimation. Includes functionality for calculating mean squared error, relative error, and loading matrix sparsity.The philosophy of the package is described in Guo G. (2023) .

Copy Link

Version

Install

install.packages('EFM')

Monthly Downloads

148

Version

1.3.0

License

MIT + file LICENSE

Maintainer

Guangbao Guo

Last Published

November 14th, 2025

Functions in EFM (1.3.0)

PPC1.EFM

Apply the PPC method to the Elliptical Factor Model
SOPC.EFM

SOPC Estimation Function for Elliptical Factor Model
incremental_perturb_pca

Incremental Perturbation PCA
robust_perturb_pca

Random Perturbation Robust PCA
elliptical_errors

Calculate errors for elliptical distributions
PPC

PPC: Principal Projection Components
PC1.EFM

Apply the PC method to the Elliptical Factor Model
EFM

The EFM function is to generate Elliptical Factor Models data.
FanPC.EFM

Apply the FanPC method to the Elliptical Factor Model