Description Usage Arguments Details Value Author(s)

Miscellaneous functions for the random covariance model (RCM).

1 2 3 4 5 |

`nu` |
A numeric of length one giving the degrees of freedom in the RCM. |

`p` |
A numeric giving the dimension of the space. |

`Psi` |
A numeric square positive semi-definite matrix. The underlying parameter in the RCM. |

`Sigma` |
A numeric square positive semi-definite matrix. The expected covariance matrix in the RCM. |

`ICC`

compute the ICC in the RCM.
A simple function for computing the intra-class correlation coefficient
(ICC). This function simply computes 1 divided by `nu - p`

.

`Psi2Sigma`

and `Sigma2Psi`

provide conversion between Psi
and Sigma. Computes the expected covariance matrix from Psi and nu in the
random covariance model (RCM) and the other way around.

`ICC`

: A numeric giving the ICC.

`Psi2Sigma`

, `Sigma2Psi`

:
The converted matrix the same size as `Psi`

or `Sigma`

.

Anders Ellern Bilgrau <anders.ellern.bilgrau (at) gmail.com>

AEBilgrau/correlateR documentation built on Dec. 27, 2018, 2:32 a.m.

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