View source: R/utils-create_model-likelihood.R
create_model.likelihood | R Documentation |
Parse the response variable and its likelihood model
create_model.likelihood(
data,
likelihood,
c_hat,
num_trials,
y_name,
sample_f,
verbose
)
data |
A |
likelihood |
Determines the observation model. Must be either
|
c_hat |
The GP mean. This should only be given if
where |
num_trials |
This argument (number of trials) is only needed when
likelihood is |
y_name |
Name of response variable |
sample_f |
Determines if the latent function values are sampled
(must be |
verbose |
Should some informative messages be printed? |
a list of parsed options
Other internal model creation functions:
create_model.covs_and_comps()
,
create_model.formula()
,
create_model.prior()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.