print.Optimization: Prints the result of the model in a human friendly format.

In luisdamiano/BayesHMM: Full Bayesian Inference for Hidden Markov Models

Description

Prints the result of the model in a human friendly format.

Usage

## S3 method for class 'Optimization'
print(x, observation = TRUE, initial = TRUE,
  transition = TRUE, fixed = TRUE, diagnostics = TRUE,
  print = TRUE, ...)

Arguments

x	An object returned by optimizing.
observation	An optional logical indicating whether the observation model should be included in the description. It defaults to TRUE.
initial	An optional logical indicating whether the initial distribution model should be included in the description. It defaults to TRUE.
transition	An optional logical indicating whether the transition model should be included in the description. It defaults to TRUE.
fixed	An optional logical indicating whether the fixed parameters should be included in the description. It defaults to TRUE.
diagnostics	An optional logical indicating whether convergence diagnostics should be included in the description. It defaults to TRUE.
print	An optional logical indicating whether the description should be printing out.
...	Further arguments passed to cat.

Value

A character string with the model description.

luisdamiano/BayesHMM documentation built on May 20, 2019, 2:59 p.m.