Creates model summary based on a model objects or provides estimates table for a runjags fit.

```
model_summary_table(
model,
model_description = NULL,
title = NULL,
footnotes = NULL,
warnings = NULL,
remove_spike_0 = TRUE,
short_name = FALSE,
formula_prefix = TRUE,
remove_parameters = NULL
)
runjags_estimates_table(
fit,
transformations = NULL,
title = NULL,
footnotes = NULL,
warnings = NULL,
conditional = FALSE,
remove_spike_0 = TRUE,
transform_factors = FALSE,
transform_orthonormal = FALSE,
formula_prefix = TRUE,
remove_inclusion = FALSE,
remove_parameters = NULL
)
runjags_inference_table(
fit,
title = NULL,
footnotes = NULL,
warnings = NULL,
formula_prefix = TRUE
)
JAGS_estimates_table(
fit,
transformations = NULL,
title = NULL,
footnotes = NULL,
warnings = NULL,
conditional = FALSE,
remove_spike_0 = TRUE,
transform_factors = FALSE,
transform_orthonormal = FALSE,
formula_prefix = TRUE,
remove_inclusion = FALSE,
remove_parameters = NULL
)
JAGS_inference_table(
fit,
title = NULL,
footnotes = NULL,
warnings = NULL,
formula_prefix = TRUE
)
JAGS_summary_table(
model,
model_description = NULL,
title = NULL,
footnotes = NULL,
warnings = NULL,
remove_spike_0 = TRUE,
short_name = FALSE,
formula_prefix = TRUE,
remove_parameters = NULL
)
model_summary_empty_table(
model_description = NULL,
title = NULL,
footnotes = NULL,
warnings = NULL
)
runjags_estimates_empty_table(title = NULL, footnotes = NULL, warnings = NULL)
runjags_inference_empty_table(title = NULL, footnotes = NULL, warnings = NULL)
JAGS_estimates_empty_table(title = NULL, footnotes = NULL, warnings = NULL)
JAGS_inference_empty_table(title = NULL, footnotes = NULL, warnings = NULL)
stan_estimates_table(
fit,
transformations = NULL,
title = NULL,
footnotes = NULL,
warnings = NULL
)
```

- model
model object containing a list of

`priors`

and`inference`

object, The`inference`

must be a named list with information about the model: model number`m_number`

, marginal likelihood`marglik`

, prior and posterior probability`prior_prob`

and`post_prob`

, and model inclusion Bayes factor`inclusion_BF`

- model_description
named list with additional description to be added to the table

- title
title to be added to the table

- footnotes
footnotes to be added to the table

- warnings
warnings to be added to the table

- remove_spike_0
whether prior distributions equal to spike at 0 should be removed from the

`prior_list`

- short_name
whether the prior distribution names should be shortened. Defaults to

`FALSE`

.- formula_prefix
whether the parameter prefix from formula should be printed. Defaults to

`TRUE`

.- remove_parameters
parameters to be removed from the summary. Defaults to

`NULL`

, i.e., including all parameters.- fit
runjags model fit

- transformations
named list of transformations to be applied to specific parameters

- conditional
summarizes estimates conditional on being included in the model for spike and slab priors. Defaults to

`FALSE`

.- transform_factors
whether factors with orthonormal/meandif prior distribution should be transformed to differences from the grand mean

- transform_orthonormal
(to be depreciated) whether factors with orthonormal prior distributions should be transformed to differences from the grand mean

- remove_inclusion
whether estimates of the inclusion probabilities should be excluded from the summary table. Defaults to

`FALSE`

.

`model_summary_table`

returns a table with
overview of the fitted model, `runjags_estimates_table`

returns
a table with MCMC estimates, and `runjags_estimates_empty_table`

returns an empty estimates table. All of the tables are objects of class 'BayesTools_table'.