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

as.evoTS.multi.URW.fit {evoTS}

R Documentation

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

A function that combines useful information summarizing model fit.

as.evoTS.multi.URW.fit(
  converge,
  modelName,
  logL,
  ancestral.values,
  SE.anc,
  R,
  SE.R,
  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
`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

[Package evoTS version 1.0.3 Index]