Description Usage Arguments Value Examples

Replace calls to PCMInfo() with this method in order to use C++ for likelihood calculation.

1 2 3 4 | ```
PCMInfoCpp(X, tree, model, SE = matrix(0, PCMNumTraits(model),
PCMTreeNumTips(tree)), metaI = PCMInfo(X = X, tree = tree, model =
model, SE = SE, verbose = verbose, preorder = PCMTreePreorderCpp(tree)),
verbose = FALSE, ...)
``` |

`X` |
a |

`tree` |
a phylo object with N tips. |

`model` |
an S3 object specifying both, the model type (class, e.g. "OU") as well as the concrete model parameter values at which the likelihood is to be calculated (see also Details). |

`SE` |
a k x N matrix specifying the standard error for each measurement in
X. Alternatively, a k x k x N cube specifying an upper triangular k x k
Choleski factor of the variance covariance matrix for the measurement error
for each node i=1, ..., N.
Default: |

`metaI` |
a list returned from a call to |

`verbose` |
logical indicating if some debug-messages should be printed. Default: FALSE |

`...` |
passed to methods. |

a list to be passed to PCMLik as argument metaI.

1 2 3 4 5 6 7 8 9 | ```
metaICpp <- PCMInfoCpp(
PCMBase::PCMBaseTestObjects$traits.a.123,
PCMBase::PCMBaseTestObjects$tree.a,
PCMBase::PCMBaseTestObjects$model.a.123)
PCMBase::PCMLik(
PCMBase::PCMBaseTestObjects$traits.a.123,
PCMBase::PCMBaseTestObjects$tree.a,
PCMBase::PCMBaseTestObjects$model.a.123,
metaI = metaICpp)
``` |

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