Add missing years to bboudata formatted data.

Add years with missing values to bboudata formatted survival or recruitment data. This will cause estimated rates to be returned for those years by fitted Bayesian Models.

Usage

addMissingYears(
  dat,
  addYears,
  year_start = formals(bboutools::bb_fit_recruitment)$year_start
)

Arguments

dat

data.frame. Survival or recruitment data in bboudata format.

addYears

numeric. Vector of years to add to the data.

year_start

A whole number between 1 and 12 indicating the start of the caribou (i.e., biological) year. By default, April is set as the start of the caribou year.

Value

a modified version of dat with additional rows for added Years.

Interpretation of Years

Throughout the package a year is treated as the calendar year only if it is in a table that also contains a month column. In all other contexts year is treated as the caribou year which is the annual demographic cycle of caribou, measured from one calving season to the next. By default, April is set as the start of the caribou year.

See also

Caribou demography functions: addN0Variation(), bayesianScenariosWorkflow(), bayesianTrajectoryWorkflow(), betaNationalPriors(), caribouPopGrowth(), compareTrajectories(), compositionBiasCorrection(), convertTrajectories(), dataFromSheets(), demographicProjectionApp(), estimateBayesianRates(), estimateNationalRate(), getCaribouYear(), getNationalCoefficients(), getScenarioDefaults(), plotCompareTrajectories(), plotSurvivalSeries(), plotTrajectories(), popGrowthTableJohnsonECCC, simulateObservations(), trajectoriesFromBayesian(), trajectoriesFromNational(), trajectoriesFromSummary(), trajectoriesFromSummaryForApp()