prr.test: Original Permutation of Regression Residuals (PRR) test

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

Original Permutation of Regression Residuals (PRR) test

Description

This is part of the implementation in the original glmperm package (GPL-3)

Usage

prr.test(
  formula,
  var,
  family = gaussian,
  data,
  nrep = 1000,
  seed = 12345,
  Silent = TRUE,
  weights,
  subset,
  na.action,
  start = NULL,
  etastart,
  mustart,
  offset,
  control = glm.control(...),
  model = TRUE,
  method = "glm.fit",
  x = FALSE,
  y = TRUE,
  contrasts = NULL,
  ...
)

Arguments

formula	Formula that specifies the model
var	variable in the formula to permute
family	the GLM family object
data	Data frame with the data
nrep	number of permutation repetitions
seed	random seed
Silent	inverse verbose T/F
weights	Weights to use for the observations
subset	Take a given subset of the observations
na.action	what to do with NA values
start	GLM initialization parameters
etastart	GLM initialization parameters
mustart	GLM initialization parameters
offset	offset to use for each observation
control	extra fit options for GLM
model	whether to return the model
method	function that fits the model
x	whether to return the model matrix
y	whether to return the response vector
contrasts	contrasts to use for the model matrix

Value

list of likelihood and permutation based p-values

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