lr_test {evinf}

Likelihood ratio test for individual variables of evzinb

Description

Likelihood ratio test for individual variables of evzinb

Usage

lr_test(
  object,
  vars,
  single = TRUE,
  bootstrap = FALSE,
  multicore = FALSE,
  ncores = NULL,
  verbose = FALSE
)

Arguments

object

EVZINB or EVZINB object to perform likelihood ratio test on

vars

Either a list of character vectors with variable names which to be restricted in the LR test or a character vector of variable names. If a list, each character vector of the list will be run separately, allowing for multiple variables to be restricted as once. If a character vector, parameter 'single' can be used to determine whether all variables in the vector should be restricted at once (single = FALSE) or if the variables should be restricted one by one (single = TRUE)

single

Logical. Determining whether variables in 'vars' should be restricted individually (single = TRUE) or all at once (single = FALSE)

bootstrap

Should LR tests be conducted on each bootstrapped sample or only on the original sample.

multicore

Logical. Should the function be run in parallel?

ncores

Number of cores to use if multicore = TRUE

verbose

Logical. Should the function be verbose?

Value

A tibble with one row per performed LR test

Examples

data(genevzinb2)
model <- evzinb(y~x1+x2+x3,data=genevzinb2, n_bootstraps = 10)
 lr_test(model,'x1')