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

A function that combines useful information summarizing model fit.

Usage

as.evoTS.multi.BW.acceldecel.fit(
  converge,
  modelName,
  logL,
  ancestral.values,
  SE.anc,
  r,
  SE.r,
  R,
  SE.R,
  method,
  K,
  n,
  iter
)

Arguments

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 r parameter
SE.r: standard error of the r parameter
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 Unbiased Random Walk models with an accelerated and decelerated rate of evoluton to create standardized output

Note

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

Author

Kjetil Lysne Voje