as.evoTSfit.OUBM: 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.evoTSfit.OUBM(logL, parameters, modelName, method, K, n, iter, se)

Arguments

logL	log-likelihood of model
parameters	maximum-likelihood estimates of the parameters
modelName	description of the model
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.
se	standard errors of parameter estimates

Details

This function is used by the model-fitting routines for the univariate Ornstein-Uhlenbeck model where the optimum evolves as an Unbiased Random Walk 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.