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conda-forge / packages / r-esabcv 1.2.1.1

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).

copied from cf-staging / r-esabcv

Installers

Info: This package contains files in non-standard labels.
  • noarch v1.2.1.1

conda install

To install this package run one of the following:
conda install conda-forge::r-esabcv
conda install conda-forge/label/cf201901::r-esabcv
conda install conda-forge/label/cf202003::r-esabcv
conda install conda-forge/label/gcc7::r-esabcv

Description


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