#' statcheck: Extract statistics from articles and recompute p-values
#'
#' The package \code{statcheck} can extract Null Hypothesis Significance Test
#' (NHST) results from articles (or plain text) and recomputes p-values to check
#' whether a reported NHST result is internally consistent or not.
#'
#' \code{statcheck} can be used for multiple purposes, including:
#'
#' \itemize{
#' \item \strong{Self-checks}: you can use statcheck to make sure your
#' manuscript doesn't contain copy-paste errors or other inconsistencies
#' before you submit it to a journal.
#' \item \strong{Peer review}: editors and reviewers can use statcheck to
#' check submitted manuscripts for statistical inconsistencies. They can ask
#' authors for a correction or clarification before publishing a manuscript.
#' \item \strong{Research}: statcheck can be used to automatically extract
#' statistical test results from articles that can then be analyzed. You can
#' for instance investigate whether you can predict statistical
#' inconsistencies (see e.g., Nuijten et al., 2017 <doi:10.1525/collabra.102>),
#' or use it to analyze p-value distributions (see e.g.,
#' Hartgerink et al., 2016 <doi:10.7717/peerj.1935>).
#' }
#'
#' @section Using statcheck on a string of text:
#' The most basic usage of \code{statcheck} is to directly extract NHST results
#' and check for inconsistencies in a string of text. See
#' \code{\link{statcheck}} for details and an example of how to do this.
#'
#' @section Using statcheck on an article:
#' Another option is to run \code{statcheck} on an article (PDF or HTML). This
#' is a useful option if you want to check for inconsistencies in a single
#' article (e.g., as a final check before you submit it). Depending on whether
#' you want to check an article in HTML or PDF, you can use
#' \code{\link{checkHTML}} or \code{\link{checkPDF}}, respectively. Note: it is
#' recommended to check articles in HTML, as converting PDF files to plain text
#' sometimes results in some conversion errors.
#'
#' @section Using statcheck on a folder of articles:
#' Finally, it is possible to run \code{statcheck} on an entire folder of
#' articles. This is often useful for meta-research. To do so, you can use
#' \code{\link{checkPDFdir}} to check all PDF articles in a folder,
#' \code{\link{checkHTMLdir}} to check all PDF articles in a folder, and
#' \code{\link{checkdir}} to check both PDF and HTML articles in a folder.
#'
#' @section Accuracy of the algorithm in detecting inconsistencies:
#' It is important to note that \code{statcheck} is not perfect. Its performance
#' in detecting NHST results depends on the type-setting and reporting style of
#' an article and can vary widely. However, \code{statcheck} performs well in
#' classifying the retrieved statistics in different consistency categories. We
#' found that statcheck’s sensitivity (true positive rate) and specificity (true
#' negative rate) were high: between 85.3% and 100%, and between 96.0% and 100%,
#' respectively, depending on the assumptions and settings. The overall accuracy
#' of statcheck ranged from 96.2% to 99.9%. More details on the validity study
#' can be found in \href{https://psyarxiv.com/tcxaj/}{Nuijten et al., 2017}.
#'
#' @section Manual:
#' Details on what statcheck can and cannot do, and how to install the package
#' and the necessary program Xpdf can be found in the
#' \href{https://rpubs.com/michelenuijten/statcheckmanual}{online manual}.
#'
#' @section Web app:
#' \code{statcheck} is also available as a free, online web app at
#' \url{http://statcheck.io}.
#'
#' @references
#' Hartgerink, C. H. J., Van Aert, R. C. M., Nuijten, M. B., Wicherts, J. M.,
#' Van Assen, M. A. L. M. (2016). Distributions of p-values smaller than .05 in
#' psychology: What is going on? \emph{PeerJ}, \emph{4}, e1935.
#' doi: 10.7717/peerj.1935
#'
#' Nuijten, M. B., Borghuis, J., Veldkamp, C. L. S., Dominguez-Alvarez, L., Van
#' Assen, M. A. L. M., & Wicherts, J. M. (2017). Journal data sharing policies
#' and statistical reporting inconsistencies in psychology.
#' \emph{Collabra: Psychology}, \emph{3}(1), 1-22. doi: 10.1525/collabra.102.
#'
#' Nuijten, M. B., Van Assen, M. A. L. M., Hartgerink, C. H. J., Epskamp, S., &
#' Wicherts, J. M. (2017). The validity of the tool "statcheck" in discovering
#' statistical reporting inconsistencies. \emph{Preprint retrieved from
#' https://psyarxiv.com/tcxaj/.}
#' @keywords internal
#' @aliases statcheck-package
"_PACKAGE"
#' @name statcheck
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