View source: R/MixedGaussian.R
MixedGaussian | R Documentation |
Create a multi-regime Gaussian model (MixedGaussian)
MixedGaussian(
k,
modelTypes,
mapping,
className = paste0("MixedGaussian_", do.call(paste0, as.list(mapping))),
X0 = structure(0, class = c("VectorParameter", "_Global"), description =
"trait values at the root"),
...,
Sigmae_x = structure(0, class = c("MatrixParameter", "_UpperTriangularWithDiagonal",
"_WithNonNegativeDiagonal", "_Global"), description =
"Upper triangular factor of the non-phylogenetic variance-covariance")
)
k |
integer specifying the number of traits. |
modelTypes , mapping |
These two arguments define the mapping between the regimes in the model and actual types of models. For convenience, different combinations are possible as explained below:
As a final note, |
className |
a character string defining a valid S3 class name for the
resulting MixedGaussian object. If not specified, a className is generated
using the expression
|
X0 |
specification for the global vector X0 to be used by all models in the MixedGaussian. |
... |
specifications for other _Global parameters coming after X0. |
Sigmae_x |
sepcification of a _Global Sigmae_x parameter. This is used by Submodels only if they have Sigmae_x _Omitted. |
If X0 is not NULL it has no sense to use model-types including X0 as a parameter (e.g. use BM1 or BM3 instead of BM or BM2). Similarly if Sigmae_x is not NULL there is no meaning in using model-types including Sigmae_x as a parameter, (e.g. use OU2 or OU3 instead of OU or OU1).
an object of S3 class className inheriting from MixedGaussian, GaussianPCM and PCM.
PCMTreeGetPartNames
PCMModels()
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