Default parameters for simulating monitoring.

Returns default parameter values for monitoring. See simulateObservations() and bayesianScenariosWorkflow() for additional details.

Usage

monitoringDefaults(
  paramTable = NULL,
  collarInterval = NA,
  cowCount = NA,
  collarCount = NA,
  ...
)

Arguments

paramTable

a data.frame with column names matching the arguments below. Any columns that are missing will be filled with the default values.

collarInterval

number. Optional. Number of years between collar deployments. If missing assumed to be every year

cowCount

Optional. Only used in bayesianScenariosWorkflow() to set the number of cows per year in recruitment survey

collarCount

number >= 1. The target number of collars active each year. Set to NA to use freqStartsPerYear in simulateObservations()

Value

a data.frame of parameter values.

See also

Caribou demography functions: bayesianScenariosWorkflow(), bayesianTrajectoryWorkflow(), betaNationalPriors(), caribouPopGrowth(), compareTrajectories(), compositionBiasCorrection(), convertTrajectories(), dataFromSheets(), demographicProjectionApp(), demographyDefaults(), disturbanceDefaults(), estimateBayesianRates(), estimateNationalRate(), getNationalCoefficients(), getScenarioDefaults(), nationalTrajectoryDefaults(), plotCompareTrajectories(), plotSurvivalSeries(), plotTrajectories(), popGrowthTableJohnsonECCC, simulateObservations(), timeDefaults(), trajectoriesFromBayesian(), trajectoriesFromNational(), trajectoriesFromSummary(), trajectoriesFromSummaryForApp()

Examples

monitoringDefaults()
#> # A tibble: 1 × 10
#>      N0  qMin  qMax  uMin  uMax  zMin  zMax cowMult lQuantile correlateRates
#>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl> <lgl>     <lgl>         
#> 1  1000     0     0     0     0     0     0       6 NA        FALSE