#' onAttach
#' @param lib lib
#' @param pkg pkg
#' @name onAttach
#' @keywords internal
".onAttach" <- function(lib, pkg){
packageStartupMessage("\nCoDa : Compositional Data Lee-Carter Mortality Model",
"\nAuthors : Pascariu M.D. & Oeppen J.",
"\nLast Update: August 8, 2018\n")
}
#' Imports
#' @importFrom stats coef fitted
#' @importFrom compositions acomp geometricmeanCol clr clrInv
#' @importFrom forecast forecast Arima arimaorder auto.arima
#' @importFrom tidyr gather
#' @importFrom utils head tail
#' @importFrom graphics par plot matplot abline image.default
#' @importFrom grDevices colorRampPalette grey.colors terrain.colors
#' @importFrom RColorBrewer brewer.pal
#' @importFrom fields image.plot
#' @name foo_imports
#' @keywords internal
NULL
#' DATA in the package - for testing purposes
#'
#' Dataset containing empirical distribution of deaths
#' for US female population between 1960 and 2014.
#' The data is provided in the package for testing purposes only.
#' By the time you are using it, it may be outdated. Download actual
#' demographic data free of charge from Human Mortality Database.
#' Once a username and a password is created on the
#' \href{https://www.mortality.org}{website} the
#' \href{https://CRAN.R-project.org/package=MortalityLaws}{MortalityLaws}
#' R package can be used to extract data directly into your R console.
#' @source \href{https://www.mortality.org}{Human Mortality Database}
#' @seealso \code{\link{coda}}
"CoDa.data"
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