Return the tibble containing the priors of a networkModel

priors(nm, fix_set_params = FALSE, quiet = FALSE)

Arguments

nm: A networkModel object.
fix_set_params: If TRUE, parameters for which a value is set are given a fixed value (i.e. their prior is equivalent to a point value).
quiet: Boolean to control verbosity.

Value

A tibble giving the current priors defined for the input network model.

Examples

priors(aquarium_mod)
#> # A tibble: 8 × 2
#>   in_model                 prior                       
#>   <chr>                    <list>                      
#> 1 eta                      <trun_normal(mean=0,sd=0.5)>
#> 2 lambda_algae             <trun_normal(mean=0,sd=0.2)>
#> 3 lambda_daphnia           <trun_normal(mean=0,sd=0.2)>
#> 4 lambda_NH4               <trun_normal(mean=0,sd=0.2)>
#> 5 upsilon_algae_to_daphnia <trun_normal(mean=0,sd=0.5)>
#> 6 upsilon_daphnia_to_NH4   <trun_normal(mean=0,sd=0.5)>
#> 7 upsilon_NH4_to_algae     <trun_normal(mean=0,sd=0.5)>
#> 8 zeta                     <trun_normal(mean=0,sd=0.5)>
priors(trini_mod)
#> # A tibble: 72 × 2
#>    in_model        prior                     
#>    <chr>           <list>                    
#>  1 eta             <trun_normal(mean=0,sd=2)>
#>  2 lambda_arg|LL   <trun_normal(mean=0,sd=5)>
#>  3 lambda_arg|UL   <trun_normal(mean=0,sd=5)>
#>  4 lambda_CBOM|LL  <trun_normal(mean=0,sd=5)>
#>  5 lambda_CBOM|UL  <trun_normal(mean=0,sd=5)>
#>  6 lambda_epi|LL   <trun_normal(mean=0,sd=5)>
#>  7 lambda_epi|UL   <trun_normal(mean=0,sd=5)>
#>  8 lambda_eudan|LL <trun_normal(mean=0,sd=5)>
#>  9 lambda_eudan|UL <trun_normal(mean=0,sd=5)>
#> 10 lambda_euthy|LL <trun_normal(mean=0,sd=5)>
#> # ℹ 62 more rows