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)
- Version1.6.2
- R version≥ 3.0.1 stats,
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/09/2022
Documentation
Team
Irina Gaynanova
Grace Yoon
Mingze Huang
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- Depends2 packages
- Imports7 packages
- Linking To2 packages