model_selection does the model selection on a fitted PhyloEM
object, and returns the same fitted object.
Usage
model_selection(x, ...)
# S3 method for class 'PhyloEM'
model_selection(
x,
method.selection = c("LINselect", "DDSE", "Djump"),
C.BM1 = 0.1,
C.BM2 = 2.5,
C.LINselect = 1.1,
independent = FALSE,
...
)Arguments
- x
a fitted
PhyloEMobject- ...
Further arguments to be passed to
estimateEM, including tolerance parameters for stopping criteria, maximal number of iterations, etc.- method.selection
Method selection to be used. Several ones can be used at the same time. One of "LINselect" for the Baraud Giraud Huet LINselect method; "DDSE" for the Slope Heuristic or "Djump" for the Jump Heuristic, last two based the Birgé Massart method.
- C.BM1
Multiplying constant to be used for the BigeMassart1 method. Need to be positive. Default to 0.1.
- C.BM2
Multiplying constant to be used for the BigeMassart2 method. Default to 2.5.
- C.LINselect
Multiplying constant to be used for the LINselect method. Need to be greater than 1. Default to 1.1.
- independent
Are the trait assumed to be independent from one another? Default to FALSE. OU in a multivariate setting only works if TRUE.
Value
The same object, but with a slot corresponding to the model selection used. See
function params_process.PhyloEM to retrieve the selected parameters.
Methods (by class)
model_selection(PhyloEM):PhyloEMobject