R/data.R

In achambaz/mediation.test: More Powerful Tests of the Composite Null Hypothesis Arising in Mediation Analysis

#' The map of  rejection probabilities for the Bayes risk  optimal test of the
#' composite null  "\eqn{\delta_x \times \delta_y=0}" against  its alternative
#' "\eqn{\delta_x \times \delta_y\neq  0}" based on the test  statistic in the
#' real plane  that is  induced by  the 0-1  loss function  for a  0.05 type-I
#' error.
#'
#' @format ## `map_01_0.05`
#' A square matrix with 128 rows and columns.
#' 
"map_01_0.05"

#' The map of  rejection probabilities for the Bayes risk  optimal test of the
#' composite null  "\eqn{\delta_x \times \delta_y=0}" against  its alternative
#' "\eqn{\delta_x \times \delta_y\neq  0}" based on the test  statistic in the
#' real plane that is induced by the quadratic loss function for a 0.05 type-I
#' error.
#'
#' @format ## `map_quad_0.05`
#' A square matrix with 128 rows and columns.
#'
"map_quad_0.05"

#' The map of  rejection probabilities for the Bayes risk  optimal test of the
#' composite null  "\eqn{\delta_x \times \delta_y=0}" against  its alternative
#' "\eqn{\delta_x \times \delta_y\neq  0}" based on the test  statistic in the
#' real plane  that is  induced by  the 0-1  loss function  for a  0.01 type-I
#' error.
#'
#' @format ## `map_01_0.01`
#' A square matrix with 128 rows and columns.
#' 
"map_01_0.01"

#' The map of  rejection probabilities for the Bayes risk  optimal test of the
#' composite null  "\eqn{\delta_x \times \delta_y=0}" against  its alternative
#' "\eqn{\delta_x \times \delta_y\neq  0}" based on the test  statistic in the
#' real plane that is induced by the quadratic loss function for a 0.01 type-I
#' error.
#'
#' @format ## `map_quad_0.01`
#' A square matrix with 128 rows and columns.
#'
"map_quad_0.01"