Plausibility: Compute weighted or unweighted plausibility function

In sboehringer/plausibility: Plausibility based estimation and inference

Compute weighted or unweighted plausibility function

Description

A model comparison of binomial outcome for nested models is computed. The plausibility estimate and P-value are returned together with a glm-fit.

Usage

Plausibility(
  f0,
  f1 = NULL,
  data,
  family = "binomial",
  Nsi = 1000L,
  Niter = 2L,
  optMethod = "optim",
  ...,
  plClass,
  initArgs = list()
)

Arguments

f0	Null model given as R formula
f1	Alternative model given as R formula
data	data frame
Nsi	Number of stochastic integration samples (defaults to 1e3L)
Niter	Number of iterations used when finding the plausibility estimate
optMethod	Optimization method to use. Either 'grid' (default) or 'optim'
...	Arguments passed to the optimizer

sboehringer/plausibility documentation built on Dec. 6, 2022, 11:34 a.m.