simukde: Simulation with Kernel Density Estimation

#' @title Simulation with Kernel Density Estimation
#' @description The simukde package provides a function which generates random values from a univariate and multivariate continuous distribution by using kernel density estimation based on a sample. The function uses the Accept-Reject method.
#' @references Duong (2017) <doi:10.18637/jss.v021.i07>, Christian P. Robert and George Casella (2010 ISBN:978-1-4419-1575-7) <doi:10.1007/978-1-4419-1576-4>.
#' @author MAKHGAL Ganbold and BAYARBAATAR Amgalan, National University of Mongolia
#' @note Funding: This package has been done within the framework of the project Statistics and Optimization Based Methods for Identification of Cancer-Activated Biological Processes (P2017-2519) supported by the Asia Research Center, Mongolia and Korea Foundation for Advanced Studies, Korea.
#'
#' The funders had no role in study design, analysis, decision to publish, or preparation of the package.
#' @docType package
#' @name simukde
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