as.evoTS.multi.BW.acceldecel.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.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(s)

Kjetil Lysne Voje