select_parameters: Return the name of the model parameters.
In luisdamiano/BayesHMM: Full Bayesian Inference for Hidden Markov Models
Description
Usage
Arguments
Value
Description
Return the name of the model parameters.
Usage
1
2
select_parameters(fit, observation = TRUE, initial = TRUE,
transition = TRUE)
Arguments
fit
An object returned by either draw_samples or optimizing.
observation
An optional logical scalar indicating whether the names of the observation model parameters should be included. Defaults to TRUE.
initial
An optional logical scalar indicating whether the names of the initial model parameters should be included. Defaults to TRUE.
transition
An optional logical scalar indicating whether the names of the transition model parameters should be included. Defaults to TRUE.
Value
A character string with the selected model parameter names.
luisdamiano/BayesHMM documentation built on May 20, 2019, 2:59 p.m.
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Description Usage Arguments Value
Description
Return the name of the model parameters.
Usage
1 2 | select_parameters(fit, observation = TRUE, initial = TRUE,
transition = TRUE)
|
Arguments
fit |
An object returned by either |
observation |
An optional logical scalar indicating whether the names of the observation model parameters should be included. Defaults to TRUE. |
initial |
An optional logical scalar indicating whether the names of the initial model parameters should be included. Defaults to TRUE. |
transition |
An optional logical scalar indicating whether the names of the transition model parameters should be included. Defaults to TRUE. |
Value
A character string with the selected model parameter names.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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