R/EpiABC-package.R

#' EpiABC: Approximate Bayesian Computation for EpiModel on High-Performance
#' Computing Clusters
#'
#' Implementation of Approximate Bayesian Computation with Sequential Monte Carlo
#' Methods (ABC-SMC) optimized for use with EpiModel R package epidemic simulations
#' running on High-Performance Computing (HPC) cluster environments such as MPI
#' and Slurm. This package uses AMC-SMC algorithms originally developed for the
#' EasyABC R package.
#'
#' \tabular{ll}{
#'    Package: \tab EpiABC\cr
#'    Type: \tab Package\cr
#'    Version: \tab 1.0.0\cr
#'    Date: \tab 2019-01-14\cr
#'    License: \tab GPL-3\cr
#'    LazyLoad: \tab yes\cr
#' }
#'
#' @name EpiABC-package
#' @aliases EpiABC-package EpiABC
#' @docType package
#'
#' @keywords package
#'
#' @import MASS mnormt parallel pls abc lhs tensorA EpiModel
#' @importFrom stats as.formula cov cov.wt lm optimize rnorm runif sd uniroot var
#' @importFrom utils flush.console read.table write.table
#' @importFrom stringr str_pad
#' @importFrom grDevices adjustcolor
#' @importFrom graphics abline boxplot grid par plot points
#' @importFrom stats density
#' @importFrom utils tail
#' @importFrom EasyABC ABC_sequential
#'
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EpiModel/EasyABCMPI documentation built on Dec. 5, 2020, 8:43 p.m.