Default parameters for simulating demographic trajectories.

Returns default parameter values for simulating any type of demographic trajectories. See trajectoriesFromNational(), trajectoriesFromBayesian(), trajectoriesFromSummary() or simulateObservations() for additional details.

Usage

demographyDefaults(
  paramTable = NULL,
  N0 = 1000,
  qMin = 0,
  qMax = 0,
  uMin = 0,
  uMax = 0,
  zMin = 0,
  zMax = 0,
  cowMult = 6,
  lQuantile = NA,
  correlateRates = F,
  ...
)

Arguments

paramTable

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

N0

number. Initial number of adult females.

qMin

number in 0, 1. Minimum ratio of bulls to cows in composition survey groups.

qMax

number in 0, 1. Maximum ratio of bulls to cows in composition survey groups.

uMin

number in 0, 1. Minimum probability of misidentifying young bulls as adult females and vice versa in composition survey.

uMax

number in 0, 1. Maximum probability of misidentifying young bulls as adult females and vice versa in composition survey.

zMin

number in 0, 1. Minimum probability of missing calves in composition survey.

zMax

number in 0, <1. Maximum probability of missing calves in composition survey.

cowMult

number >= 1. The apparent number of adult females per collared animal in composition survey. Set to NA to use cowCount.

lQuantile

number in 0, 1. Lambda quantile

correlateRates

logical. Set TRUE to force correlation between recruitment and survival.

Value

a data.frame of parameter values.

See also

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

Examples

demographyDefaults()
#> # 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