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