R: Model Selection of a fitted object

model_selection {PhylogeneticEM}

R Documentation

Model Selection of a fitted object

Description

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 `PhyloEM` object
`...`	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)