#' @title \pkg{bootmi}: BOOTstrap Multiple Imputed (survey) data
#' @description
#' The \pkg{bootmi} package first and foremost implements bootstrapping
#' imputed (survey) data as proposed by Shao and Sitter (1996).
#' Furthermore, residual centering as proposed by Little, Bovaird and Widaman
#' (2006), MICE as provided by van Buuren and Groothuis-Oudshoorn (2011), and
#' the "transform, then impute procedure" as proposed by von Hippel (2009) are
#' implemented.
#' @details
#' In addition to analysing bootstrapped imputed (survey) data, analysis of
#' the simple slopes as proposed by Aiken and West (1991), regions of
#' significance as proposed by Bauer and Curran (2005) and (moderated)
#' mediation analysis as proposed by Preacher, Rucker, and Hayes (2007) are
#' also implemented for linear models (lm), multilevel models (lmer) and mice
#' models (mice).
#'
#' For faster computation, \pkg{parallel} is implemented.
#'
#' @section Functions:
#'
#' The main functions are:
#' \tabular{ll}{
#' \code{bootmi()} \tab Bootstrap and impute the missing data *R* times\cr
#' \code{lm()} \tab Analyze bootmi data\cr
#' \code{simslop()} \tab Conducts analysis of the simple slopes\cr
#' \code{regosi()} \tab Calculates regions of significance\cr
#' \code{mediate()} \tab Tests (moderated) mediation. (under
#' construction) \cr
#' }
#' @name bootmi
#' @references Bauer, Daniel J.; Curran, Patrick J. (2005): Probing
#' Interactions in Fixed and Multilevel Regression: Inferential and Graphical
#' Techniques. In: Multivariate Behavioral Research 40 (3), S. 373-400.
#' @references Buuren, Stef van; Groothuis-Oudshoorn, Karin (2011): mice.
#' Multivariate Imputation by Chained Equations in R. In:
#' Journal of Statistical Software 45 (3).
#' @references Hippel, Paul T. von (2009): How to Impute Interactions,
#' Squares, and other Transformed Variables. In: Sociological Methodology
#' 39 (1), S. 265-291.
#' @references Little, Todd D.; Bovaird, James A.; Widaman, Keith F. (2006):
#' On the merits of orthogonalizing powered and product terms:
#' Implications for modeling interactions among latent variables.
#' In: Structural Equation Modeling 13 (4), S. 497-519.
#' @references Preacher, Kristopher J.; Rucker, Derek D.; Hayes, Andrew F.
#' (2007): Addressing Moderated Mediation Hypotheses: Theory, Methods, and
#' Prescriptions. In: Multivariate Behavioral Research 42 (1), S. 185-227.
#' @references Shao, Jun; Sitter, Randy R. (1996):
#' Bootstrap for Imputed Survey Data. In: Journal of the
#' American Statistical Association 91 (435), S. 1278-1288.
#'
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