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esaBcv (version 1.2.1)

Estimate Number of Latent Factors and Factor Matrix for Factor Analysis

Description

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 (http://arxiv.org/abs/1503.03515).

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Version

Install

install.packages('esaBcv')

Monthly Downloads

43

Version

1.2.1

License

GPL (>= 2)

Maintainer

Jingshu Wang

Last Published

May 29th, 2015

Functions in esaBcv (1.2.1)

simdat

Example Dataset
esaBcv_package

esaBcv
ESA

Estimate Latent Factor Matrix With Known Number of Factors
plot.esabcv

Plot Bi-cross-validation(BCV) Errors
EsaBcv

Estimate Latent Factor Matrix