Coefficients of a Model Fit

A wrapper on tidy() returning the model-term posterior summaries.

Usage

# S3 method for class 'kb_fit'
coef(object, ...)

Arguments

object

A kb_fit object.

...

Passed to tidy().

Value

A tibble with one row per term and columns term, estimate, lower, and upper.

See also

Other generics: augment.kb_fit(), converged.kb_fit(), fitted.kb_fit_weight(), glance.kb_fit(), kb_stancode(), log_lik.kb_fit(), posterior_epred.kb_fit_weight(), posterior_linpred.kb_fit_weight(), posterior_predict.kb_fit_weight(), predict.kb_fit_weight(), prior_summary.kb_fit(), residuals.kb_fit_weight(), samples(), summary.kb_fit(), tidy.kb_fit_weight()

Examples

coef(fit_weight_sim_nereo)
#> # A tibble: 7 × 4
#>   term          estimate   lower  upper
#>   <chr>            <dbl>   <dbl>  <dbl>
#> 1 bWeight        -1.47   -1.66   -1.24 
#> 2 bDiameter       2.5     2.28    2.74 
#> 3 bDiameter2      0.0749 -0.156   0.313
#> 4 sSite           0.27    0.176   0.459
#> 5 sSiteDiameter   0.313   0.169   0.62 
#> 6 sSiteYear       0.0962  0.0521  0.149
#> 7 sWeight         0.161   0.141   0.185