Class for fit to evolutionary sequence (time-series) models

A function that combines useful information summarizing model fit.

Usage

as.evoTS.multi.OU.fit(
  converge,
  logL,
  ancestral.values,
  SE.anc,
  optima,
  SE.optima,
  A,
  SE.A,
  half.life,
  R,
  SE.R,
  method,
  K,
  n,
  iter
)

Arguments

converge: info on model convergence
logL: log-likelihood of model
ancestral.values: maximum-likelihood estimates of the ancestral trait values
SE.anc: standard errors of the estimated ancestral states
optima: maximum-likelihood estimates of the optima
SE.optima: standard errors of the estimated optimal trait values
A: maximum-likelihood estimates of the parameters in the A matrix
SE.A: standard errors of the estimated A matrix
half.life: the calculated half-life of the evolutionary process
R: maximum-likelihood estimates of the parameters in the R matrix
SE.R: standard errors of the parameters in the R matrix
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.

Details

This function is used by the model-fitting routines for the multivariate Ornstein-Uhlenbeck models to create standardized output

Note

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

Author

Kjetil Lysne Voje