Sparse Canonical Correlation Analysis for High-Dimensional Mixed
Data
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘mixedCCA’ version 1.6.2
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. |