mctp: Computes the MCTP for clustered data

In spruenke/rankCluster: rankCluster

Computes the MCTP for clustered data

Description

Computes the MCTP for clustered data

Usage

mctp(
  data,
  p_null = 0.5,
  cont,
  normal = FALSE,
  theta = NULL,
  psi = NULL,
  alpha,
  type = NULL
)

Arguments

data	The data, provided as a list of lists
p_null	A vector or scalar of relative effects under the null hypothesis, defaults to 0.5
cont	A contrast matrix for the relative effects
normal	Logical, whether normal approximation should be used or not, defaults to FALSE
theta	A Vector for the group weights, defaults to unweighted estimator
psi	A list of vectors with the cluster weights, defaults to unweighted estimator
alpha	The significance level, defaults to 0.05
type	A string indicating whether weighted or unweighted estimator should be used. Only if psi is not provided

Value

A list containing the value of the test statistic, the degrees of freedom, the p-values and the test decision

spruenke/rankCluster documentation built on June 16, 2022, 9:47 a.m.