Class for fit to evolutionary sequence (time-series) models — as.evoTS.multi.URW.shift.fit • evoTS

A function that combines useful information summarizing model fit.

Usage

as.evoTS.multi.URW.shift.fit(
  converge,
  modelName,
  logL,
  ancestral.values,
  SE.anc,
  R,
  SE.R,
  shift.point,
  method,
  K,
  n,
  iter
)

converge: info on model convergence
modelName: description of the model
logL: log-likelihood of model
ancestral.values: maximum-likelihood estimates of the ancestral trait values
SE.anc: standard errors of the estimated ancestral states
R: maximum-likelihood estimates of the parameters in the R matrix
SE.R: standard errors of the parameters in the R matrix
shift.point: the sample in the time series that represents the first sample in the second segment.
method: the parameterization used: Joint
K: number of parameters in the model
n: sample size
iter: the number of times the optimization method is run from different starting points. Default is NULL, meaning the optimization is run once.

This function is used by the model-fitting routines for the multivariate Unbiased Random Walk models to create standardized output

This function is not likely to be called directly by the user.

Kjetil Lysne Voje