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esaBcv (version 1.0.1)

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

36

Version

1.0.1

License

GPL (>= 2)

Maintainer

Jingshu Wang

Last Published

April 7th, 2015

Functions in esaBcv (1.0.1)

ESA

Estimate Latent Factor Matrix With Known Number of Factors
esaBcv_package

esaBcv
simdat

Example Dataset
PseudoInv

Moore-Penrose Pseudo Inverse of A Matrix
EsaBcv

Estimate Latent Factor Matrix
plot.esabcv

Plot Bi-cross-validation(BCV) Errors