as.evoTS.multi.OU.fit {evoTS}

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

Description

A function that combines useful information summarizing model fit.

Usage

as.evoTS.multi.OU.fit(
  converge,
  modelName,
  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

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

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(s)

Kjetil Lysne Voje