CRAN/E | esaBcv

esaBcv

Estimate Number of Latent Factors and Factor Matrix for Factor Analysis

Installation

About

These functions estimate the latent factors of a given matrix, no matter it is high-dimensional or not. It tries to first estimate the number of factors using bi-cross-validation and then estimate the latent factor matrix and the noise variances. For more information about the method, see Art B. Owen and Jingshu Wang 2015 archived article on factor model ().

Key Metrics

Version 1.2.1.1
R ≥ 3.0.2
Published 2022-06-30 671 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks esaBcv results

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Maintainer

Maintainer

Jingshu Wang

wangjingshususan@gmail.com

Authors

Art B. Owen

aut

Jingshu Wang

aut / cre

Material

Reference manual
Package source

In Views

Psychometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

esaBcv archive

Depends

R ≥ 3.0.2

Imports

corpcor
svd

Suggests

MASS

Reverse Imports

cate