#' @import coda
#' @import dplyr
#' @import magrittr
#' @importFrom corpcor pseudoinverse
#' @importFrom grDevices adjustcolor col2rgb colorRampPalette
#' dev.new dev.off graphics.off
#' gray grey pdf png rainbow rgb topo.colors
#' @importFrom graphics abline arrows axis barplot box
#' contour curve grid hist image layout
#' legend lines matplot mtext pairs par
#' persp plot points polygon rect segments
#' symbols text title
#' @importFrom kableExtra cell_spec kable kable_styling scroll_box
#' @importFrom stats acf aggregate density dnorm loess
#' median na.omit nlminb optim pnorm qbeta qchisq qlnorm
#' qnorm qt quantile rnorm sd var window
#' @importFrom utils browseURL flush.console head
#' packageDescription read.csv
#' read.table tail write.csv write.table
#'
#' @examples
#' \dontrun{
#' # it's useful to create a variable for the directory with the model output
#' mydir <- file.path(
#' path.package("r4ss"),
#' file.path("extdata", "simple_small")
#' )
#'
#' # read the model output and print diagnostic messages
#' replist <- SS_output(
#' dir = mydir,
#' verbose = TRUE,
#' printstats = TRUE
#' )
#'
#' # plots the results
#' SS_plots(replist)
#' }
#'
#' @keywords internal
"_PACKAGE"
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