mixedCCA
Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data
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.
- Version1.6.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/09/2022
Documentation
Team
Irina Gaynanova
Mingze Huang
Show author detailsRolesContributorGrace Yoon
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- Depends1 package
- Imports7 packages
- Linking To2 packages