R/tclboot_package.R

In akurz1/tclboot: Conditional Inference in Small Sample Scenarios

#' \pkg{tclboot}: A package for computing Conditional inference in small sample scenarios
#'
#'An implementation of a non-parametric resampling technique in the context of
#'multidimensional hypothesis testing of assumptions of the Rasch model based on conditional
#'distributions. It is suggested in small sample size scenarios, in which asymptotic theory
#'is not applicable, to approximate the exact sampling distribution of various well-known
#'\eqn{\chi^2} test statistics like Wald, likelihood ratio, score and gradient tests as well as
#'others. A procedure to compute the power function of the tests is also presented. A number
#'of examples of scenarios are discussed in which the power function does not converge to one
#'with an increasing deviation from the hypothesis to be tested, i.e. the respective assumption
#'of the model. Finally, an attempt to modify the critical region of the test is made aiming
#'at improving the power.
#'
#' @section MCMC_boot function:
#' The \code{\link{MCboot}} function generates MCMC replications, computes test statistics, and power values.
#'
#' @docType package
#' @name tclboot
#' @useDynLib tclboot,.registration = TRUE
NULL
#> NULL