icamix: Estimation of ICA Mixture Models

#' Kernels for 'icamix' Functions
#' 
#' Internal kernel functions for the package \code{icamix}.
#' 
#' These are usually not to be called by the user.
#' 
#' @aliases EMInterwovenFastICA WtsFastICA WtsKde restore_rng save_rng
#' @keywords internal
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#' icamix: Estimation for ICA Mixture Model
#' 
#' Provides R functions which facilitate the estimation of ICA mixture models.
#' This is a new tool for unsupervised clustering.
#' 
#' \tabular{ll}{ Package: \tab icamix\cr Type: \tab Package\cr Version: \tab
#' 1.0.6\cr Date: \tab 2017-04-16\cr License: \tab GPL-2 | GPL-3\cr } We have
#' developed the NSMM-ICA algorithm which is implemented in the main function
#' EMFASTICAALG that currently integrates npEM and Fast-ICA for non-parametric
#' estimation of ICA mixture models.
#' 
#' @name icamix-package
#' @aliases icamix-package icamix
#' @docType package
#' @author Xiaotian Zhu, David R. Hunter
#' 
#' Maintainer: Xiaotian Zhu <xzhu@@natera.com>
#' @references
#' \href{http://www.tandfonline.com/doi/abs/10.1080/10485252.2016.1225049}{Zhu,
#' Xiaotian, and David R. Hunter. "Theoretical grounding for estimation in
#' conditional independence multivariate finite mixture models." Journal of
#' Nonparametric Statistics 28.4 (2016): 683-701.}
#' 
#' \href{https://arxiv.org/abs/1510.08178}{Zhu, Xiaotian, and David R. Hunter.
#' "Clustering Via Finite Nonparametric ICA Mixture Models." arXiv preprint
#' arXiv:1510.08178}
#' @keywords package
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