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

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

Kjetil Lysne Voje