R/parAL-package.R

#' Data set exdat
#'
#' This object contains simulated data that provide as example data for the examples of the function. The data set consists of 15 items and 500 persons
#'#'
#' @name exdat
#' @docType data
#' @format workspace
#' @source simulation
#' @keywords datasets
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#' Weight matrix orig.weight
#'
#' This object contains a simulated weight matrix that provides as example weight matrix for the examples of the functions.
#'#'
#' @name orig.weight
#' @docType data
#' @format workspace
#' @source simulation
#' @keywords weight matrix
#'
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#' Goodness-of-fit of the user-defined weight matrix of the linear logistic test model
#'
#' The linear logistic test model (LLTM, Fischer, 1973) is estimated as a restricted Rasch model. For the LLTM, the user has to set up a design matrix. To assess the fit of this user-defined weight matrix, a method is proposed by Baghaei and Hohensinn (submitted) which is analogous to the parallel analysis in factor analysis.
#'
#' This package allows to conduct this proposed approach for an LLTM.
#' 
#' \tabular{ll}{ Package: \tab parAL\cr Type: \tab Package\cr Version: \tab
#' 0.1\cr Date: \tab 2016-09-26\cr License: \tab GPL-3\cr }
#'
#' @name parAL-package
#' @aliases parAL-package parAL
#' @docType package
#' @author Christine Hohensinn Maintainer: Christine Hohensinn
#' <christine.hohensinn@@univie.ac.at>
#' @seealso \code{\link{Wrandom}} \code{\link{Wpermut}} \code{\link{Wperfect}}
#' @references 
#' Baghaei, P. & Hohensinn, C. (submitted). A Method of Q-Matrix Validation for the Linear Logistic Test Model.
#' 
#' Fischer, G. H. (1973). The linear logistic test model as an instrument in educational research. Acta Psychologica, 37, 359-374.
#' 
#' @keywords package IRT Item Response Theory psychometrics linear logistic test model 
#' 
#' @import stats graphics grDevices utils methods
#' 
#'
#'
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christinehohensinn/parAL documentation built on May 13, 2019, 7 p.m.