R: Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data

# Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data

## Documentation for package ‘mixedCCA’ version 1.6.3

- DESCRIPTION file
- Package README

## Help Pages

autocor | Construct a correlation matrix
blockcor | Construct a correlation matrix
CorrStructure | Construct a correlation matrix
estimateR | Estimate latent correlation matrix
estimateR_mixed | Estimate latent correlation matrix
find_w12bic | Internal mixedCCA function finding w1 and w2 given R1, R2 and R12
GenerateData | Mixed type simulation data generator for sparse CCA
KendallTau | Kendall's tau correlation
Kendall_matrix | Kendall's tau correlation
lambdaseq_generate | Internal data-driven lambda sequence generating function.
mixedCCA | Sparse CCA for data of mixed types with BIC criterion
myrcc | Internal RidgeCCA function
standardCCA | Internal standard CCA function.