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) |

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