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A function that combines useful information summarizing model fit.

Usage

as.evoTS.multi.URW.shift.fit(
  converge,
  modelName,
  logL,
  ancestral.values,
  SE.anc,
  R,
  SE.R,
  shift.point,
  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 parameters in the R matrix

SE.R

standard errors of the parameters in the R matrix

shift.point

the sample in the time series that represents the first sample in the second segment.

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 Unbiased Random Walk models to create standardized output

Note

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

Author

Kjetil Lysne Voje