mdRtools: Tools for the MULTI-DES project

#' mdRtools: A package for the analyses conducted within the MULTI-DES project
#'
#' @description The \code{mdRtools} package contains functions that were written and used for the analyses conducted within MULTI-DES project.
#' The functions of the mdRtools package can be used to replicate the \code{R} code accompanying the manuscripts
#' within the MULTI-DES framework that are shared via the OSF page specific to each manuscript (see \code{details}).
#'
#' @details MULTI-DES stands for "Multilevel Design Parameters and Effect Size Benchmarks for Students' Competencies". The project is funded
#' by the German Research Foundation (DFG) and aims at investigating (1) multilevel design parameters that are needed to efficiently plan
#' cluster-randomized trials on student achievement to ensure sufficient statistical power to detect intervention effects, and
#' (2) effect size benchmarks in terms of academic growth as well as performance gaps between schools
#' to appropriately interpret and communicate the results of such studies. In MULTI-DES, representative data from three
#' German longitudinal large-scale assessments were used. applying multilevel and structural equation modeling.
#'
#' @section The MULTI-DES framework contains 3 manuscripts so far (that are either published, submitted, or in progress):
#' 1) Multilevel Design Parameters to Plan Cluster-Randomized Intervention Studies on Student Achievement in Elementary and Secondary School
#' 2) Single- and Multilevel Perspectives on Covariate Selection in Randomized Trials on Student Achievement
#' 3) Empirical Benchmarks to Interpret Effect Sizes Related To K-12 Students’ Achievement: An Update With Results from Germany
#'
#' The \code{R} code for each manuscript in the context of the MULTI-DES project is shared via the OSF and are accessible under the following links:
#' 1) osf.io/2w8nt
#' 2) ...
#' 3) ...
#'
#' @docType package
#' @name mdRtools
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