compare_models {evinf}

Function to compare evzinb or evinb models with zinb and nb models

Description

Function to compare evzinb or evinb models with zinb and nb models

Usage

compare_models(
  object,
  nb_comparison = TRUE,
  zinb_comparison = TRUE,
  winsorize = FALSE,
  razorize = FALSE,
  cutoff_value = 10,
  init_theta = NULL,
  multicore = FALSE,
  ncores = NULL
)

Arguments

object

A fitted evzinb or evinb model object

nb_comparison

Should comparison be made with a negative binomial model?

zinb_comparison

Should comparions be made with the zinb model?

winsorize

Should winsorizing be done in the comparisons?

razorize

Should razorizing (trimming) be done in the comparisons?

cutoff_value

Integer: Which observation should be used as a basis for winsorizing/razorising. E.g. 10 means that everything larger than the 10th observation will be winsorized/razorised

init_theta

Optional initial value for theta in the NB specification

multicore

Logical: should multiple cores be used

ncores

Number of cores if multicore is used

Value

A list with the original model as the first object and compared models as the following objects

Examples

data(genevzinb2)
model <- evzinb(y~x1+x2+x3,data=genevzinb2, n_bootstraps = 10, multicore = TRUE, ncores = 2)
compare_models(model)