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conda-forge / packages / r-mixedcca 1.6.2

Semi-parametric approach for sparse canonical correlation analysis which can handle mixed data types: continuous, binary and truncated continuous. Bridge functions are provided to connect Kendall's tau to latent correlation under the Gaussian copula model. The methods are described in Yoon, Carroll and Gaynanova (2020) <doi:10.1093/biomet/asaa007> and Yoon, Mueller and Gaynanova (2021) <doi:10.1080/10618600.2021.1882468>.

copied from cf-staging / r-mixedcca

Installers

  • linux-64 v1.6.2
  • osx-64 v1.6.2
  • win-64 v1.6.2

conda install

To install this package run one of the following:
conda install conda-forge::r-mixedcca

Description


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