| centerData | Center data matrix. |
| compare.estimate.and.truth | Measuring model accuracy. |
| dependency.score | dependency.score |
| DependencyModel-class | Class "DependencyModel" |
| drCCAcombine | A function to combine several data sets |
| expdata1 | Example data for drCCA |
| expdata2 | Example data for drCCA |
| fit.dependency.model | Fit dependency model between two data sets. |
| generate.toydata | Toy data generation |
| getModelMethod | Class "DependencyModel" |
| getModelMethod-method | Class "DependencyModel" |
| getParams | Class "DependencyModel" |
| getParams-method | Class "DependencyModel" |
| getPhi | Class "DependencyModel" |
| getPhi-method | Class "DependencyModel" |
| getScore | Class "DependencyModel" |
| getScore-method | Class "DependencyModel" |
| getW | Class "DependencyModel" |
| getW-method | Class "DependencyModel" |
| getWindowSize | Class "DependencyModel" |
| getWindowSize-method | Class "DependencyModel" |
| getZ | Class "DependencyModel" |
| getZ-method | Class "DependencyModel" |
| pcca | Fit dependency model between two data sets. |
| pfa | Fit dependency model between two data sets. |
| pfa.neg.log.likelihood | Likelihood for the models. |
| plotVar | Data-specific and shared variance for several dimensionalities |
| ppca | Fit dependency model between two data sets. |
| regCCA | Generalized Canonical Correlation Analysis |
| sharedVar | Shared variation retained in the combined drCCA representation |
| specificVar | Data-specific variation retained in the combined drCCA representation |
| X | An example data set |
| Y | An example data set |
| z.expectation | Expectation of the latent variable. |