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#' peramo: Permutation Tests for Randomization Model
#'
#' Perform permutation-based hypothesis testing for randomized experiments as
#' suggested in Ludbrook & Dudley (1998) \doi{10.2307/2685470} and Ernst (2004)
#' \doi{10.1214/088342304000000396}, introduced in Pham et al. (2022)
#' \doi{10.1016/j.chemosphere.2022.136736}.
#'
#' @author Duy Nghia Pham & Inna M. Sokolova
#'
#' @docType package
#'
#' @name peramo-package
#'
#' @section Copyright: peramo: Permutation Tests for Randomization Model. \cr
#' Copyright (C) 2022-2023 Duy Nghia Pham & Inna M. Sokolova \cr \cr peramo
#' is free software: you can redistribute it and/or modify it under the terms
#' of the GNU General Public License as published by the Free Software
#' Foundation, either version 3 of the License, or (at your option) any later
#' version. \cr \cr peramo is distributed in the hope that it will be useful,
#' but WITHOUT ANY WARRANTY; without even the implied warranty of
#' MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
#' Public License for more details. \cr \cr You should have received a copy of
#' the GNU General Public License along with peramo. If not, see
#' \url{https://www.gnu.org/licenses/}.
#'
#' @importFrom magrittr %>%
#' @importFrom dplyr case_when
#' @importFrom lme4 lmer glmer
#' @importFrom stats lm na.omit quantile aov as.formula cor anova binomial df.residual
#' @importFrom utils head
#' @importFrom parameters bootstrap_parameters
#' @importFrom emmeans emmeans eff_size
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