as.evoTS.multi.URW.shift.fit: Class for fit to evolutionary sequence (time-series) models

In klvoje/evoTS: Analyses of Evolutionary Time-Series

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

Description

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(s)

Kjetil Lysne Voje

klvoje/evoTS documentation built on June 29, 2024, 10:26 p.m.