permutation_test_impl: Generates realisations of the permutational test statistic...

In crctStepdown: Univariate Analysis of Cluster Trials with Multiple Outcomes

Generates realisations of the permutational test statistic distribution

Description

Generates realisations of the permutational test statistic distribution from a given matrix of permutations

Usage

permutation_test_impl(
  resids,
  tr_mat,
  xb,
  invS,
  family2,
  Z,
  weight,
  iter = 1000L,
  verbose = TRUE
)

Arguments

resids	A numeric vector of generalised residuals
tr_mat	A matrix. Each column is a new random treatment allocation with 1s (treatment group) and 0s (control group)
xb	A numeric vector of fitted linear predictors
invS	A matrix. If using the weighted statistic then it should be the inverse covariance matrix of the observations
family2	A string naming the link function
Z	A matrix with columns indicating cluster membership
weight	Logical value indicating whether to use the weighted statistic (TRUE) or the unweighted statistic (FALSE)
iter	Integer. Number of permutation test iterations.
verbose	Logical indicating whether to report detailed output

Value

A numeric vector of quasi-score test statistics for each of the permutations

crctStepdown documentation built on Sept. 14, 2023, 5:06 p.m.