prr.test.glm: New Permutation of Regression Residuals (PRR) test

In majuvi/llperm: LikeLihood based Permutation of Regression Residuals (PRR) test

New Permutation of Regression Residuals (PRR) test

Description

This is part of the new implementation.

Usage

prr.test.glm(
  formula,
  data,
  family = gaussian,
  subset,
  weights,
  na.action,
  start = NULL,
  etastart = NULL,
  mustart = NULL,
  control = glm.control(...),
  offset,
  contrasts = NULL,
  test.var = NULL,
  n.rep = 100,
  seed = 12345,
  model = TRUE,
  method = "glm.fit",
  x = FALSE,
  y = TRUE,
  ...
)

Arguments

formula	Formula that specifies the model
data	Data frame with the data
family	Specify the distribution to fit
subset	Take a given subset of the observations
weights	Weights to use for the observations
na.action	what to do with NA values
offset	offset to use for each observation
contrasts	contrasts to use for the model matrix
test.var	variable in the formula to permute
n.rep	number of permutation repetitions
method	function that fits the model

Value

list of likelihood and permutation based p-values

majuvi/llperm documentation built on May 2, 2022, 5:20 p.m.