mixedCCA: Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data
Grace Yoon, Irina Gaynanova · 2020
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) and Yoon, Mueller and Gaynanova (2021) .