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#' IPV: A package to create Item Pool Visualizations
#'
#' The IPV package provides the following functions.
#'
#' @section Estimation function:
#'
#' \code{\link{ipv_est}} uses raw data to estimate the IPV models and
#' pre-format their estimates for chart creation. This is the easiest and
#' recommended Workflow.
#'
#' @section Chart Functions:
#'
#' Chart functions create a ggplot2 object (the chart) and (optionally) a
#' graphics file. There are three types of charts. \code{\link{item_chart}}
#' \code{\link{facet_chart}} \code{\link{nested_chart}}
#'
#' @section Input Functions:
#'
#' The input functions prepare existing model estimates for the chart
#' functions. This is not recommended, if the raw data are available. Read in
#' vectors containing model estimates from within R by using
#' \code{\link{input_manual_simple}}, \code{\link{input_manual_nested}}) and
#' \code{\link{input_manual_process}}. Read in model estimates via MS Excel
#' files and \code{\link{input_excel}}.
#'
#' @section Miscellaneous functions:
#'
#' The function \code{\link{item_overview}} creates a grid of bar plots
#' showing the (squared) factor loadings of all items in all models underlying
#' a nested chart. Use this to inspect the absolute values underlying the
#' charts.
#'
#' The function \code{\link{relabel}} enables quick changes of the labels for
#' variables.
#'
#' @section Basic Workflow:
#'
#' \enumerate{\item Prepare your raw data. \item Generate the model estimates
#' using the estimation function. \item Select a chart function and use it
#' with the estimates, a file name (.pdf), and otherwise default values. \item
#' Change the default values of the chart function arguments. \item Check the
#' chart's appearance by opening the created file (do not rely on the display
#' of plots in R, results may differ). \item Repeat until you are satisfied
#' with the result.}
#'
#' @docType package
#' @name IPV
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