Get informative priors for bboutools logistic models

Returns intercept prior parameter values for bboutools logistic models that are informed by national demographic-disturbance relationships.

Usage

getBBNationalInformativePriors(Anthro, fire_excl_anthro, month = T)

Arguments

Anthro

numeric. Percent non-overlapping buffered anthropogenic disturbance.

fire_excl_anthro

numeric. Percent fire not overlapping with anthropogenic disturbance.

month

logical. Does the survival data to be analyzed include month, or is it aggregated by year?

Value

a list with values:

• priors_survival = c(b0_mu,b0_sd). Passed to bboutools::bb_fit_survival. See bb_priors_survival for details.

• priors_recruitment=c(b0_mu,b0_sd). Passed to bboutools::bb_fit_recruitment. See bb_priors_recruitment for details.

Details

This is done by ... TO DO.

See getPriors for additional details.

See also

Caribou demography functions: bbouMakeSummaryTable(), caribouBayesianPM(), caribouPopGrowth(), caribouPopSimMCMC(), compositionBiasCorrection(), demographicCoefficients(), demographicProjectionApp(), demographicRates(), doSim(), getOutputTables(), getPriors(), getScenarioDefaults(), getSimsInitial(), getSimsNational(), plotRes(), popGrowthTableJohnsonECCC, runScnSet(), simulateObservations()

Examples

getBBNationalInformativePriors(Anthro=50,fire=5)
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 0
#>    Unobserved stochastic nodes: 78
#>    Total graph size: 349
#> 
#> Initializing model
#> 
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 5
#>    Unobserved stochastic nodes: 24
#>    Total graph size: 120
#> 
#> Initializing model
#> 
#> $priors_recruitment
#>      b0_mu      b0_sd 
#> -1.7186511  0.5719831 
#> 
#> $priors_survival
#>     b0_mu     b0_sd 
#> 4.3239721 0.5074275 
#>