Control parameters specific to some models

controlModel constructs a list with all necessary control parameters in estimatePopsize that are either specific to selected model or do not fit anywhere else.

Specifying additional formulas should be done by using only right hand side of the formula also for now all variables from additional formulas should also be included in the "main" formula.

Usage

controlModel(
  weightsAsCounts = FALSE,
  omegaFormula = ~1,
  alphaFormula = ~1,
  piFormula = ~1
)

Arguments

weightsAsCounts

a boolean value indicating whether to treat weights argument as number of occurrences for each row in the data and adjust necessary methods and functionalities, like adjustments in bootstrap or decreasing weights in dfbeta instead or deleting rows from data, to accommodate this form of model specification.

omegaFormula

a formula for inflation parameter in one inflated zero truncated and zero truncated one inflated models.

alphaFormula

a formula for dispersion parameter in negative binomial based models.

piFormula

a formula for probability parameter in pseudo hurdle zero truncated and zero truncated pseudo hurdle models.

Value

A list with selected parameters, it is also possible to call list directly.

See also

estimatePopsize() controlMethod() controlPopVar() singleRmodels()

Author

Piotr Chlebicki, Maciej Beręsewicz