Man pages for tpepler/cpc
Common principal component (CPC) analysis and applications
| alpha.crossvalid | Crossvalidation method to estimate shrinkage intensity |
| alpha.schafer | Sch\"afer and Strimmer method to estimate shrinkage intensity |
| BCR | Bootstrap confidence regions (BCR) method |
| betasim | Simulate common eigenvector matrices |
| biplot | Biplot |
| biplot.choice | Biplot choice tool |
| biplot.measures | Biplot quality measures |
| BootTest | Bootstrap hypothesis test (BootTest) method |
| bootveccor | Calculate bootstrap vector correlations |
| B.partial | Eigenvector matrices under partial CPC model |
| BVD | Bootstrap vector correlation distribution (BVD) method |
| cpc-package | Common principal component (CPC) analysis and applications |
| cpcq.test | Likelihood ratio test of partial common principal components... |
| cpc.test | Likelihood ratio test of common principal components in the... |
| discriminant.qda | Discriminant analysis under various assumed covariance matrix... |
| eigvec | Internal function of the FG algorithm. |
| ensemble.test | Ensemble test for the identification of common eigenvectors |
| equal.test | Likelihood ratio test of equality of several covariance... |
| FG | Flury-Gautschi (FG) algorithm |
| findcpc | Find common principal components |
| flury.AIC | AIC statistics for Flury's hierarchy |
| flury.phi | Flury's phi measure |
| flury.test | Flury's tests for common covariance structures |
| frobenius | (Modified) Frobenius matrix norm |
| G.algorithm | G algorithm |
| nonnormaldata.sim | Simulate multivariate non-normal data |
| offdiag.vec | Off-diagonal element stacking |
| pls.est | Partial least squares (PLS) algorithm |
| prop.test | Likelihood ratio test of proportionality of several... |
| rotationmat.maxcor | Maximum correlation rotation matrix |
| RVC | Random vector correlations (RVC) method |
| stepwisecpc | Stepwise common principal components (CPC) |
