Nothing
#' sure: An R package for constructing surrogate-based residuals and diagnostics
#' for ordinal and general regression models.
#'
#' The \code{sure} package provides surrogate-based residuals for fitted ordinal
#' and general (e.g., binary) regression models of class
#' \code{\link[ordinal]{clm}}, \code{\link[stats]{glm}}, \code{\link[rms]{lrm}},
#' \code{\link[rms]{orm}}, \code{\link[MASS]{polr}}, or
#' \code{\link[VGAM]{vglm}}.
#'
#' The development version can be found on GitHub:
#' \url{https://github.com/AFIT-R/sure}. As of right now, \code{sure} exports the
#' following functions:
#' \itemize{
#' \item{\code{resids}} - construct (surrogate-based) residuals;
#' \item{\code{autoplot}} - plot diagnostics using
#' \code{\link[ggplot2]{ggplot2}}-based graphics;
#' \item{\code{gof}} - simulate p-values from a goodness-of-fit test.
#' }
#'
#' @references
#' Liu, Dungang and Zhang, Heping. Residuals and Diagnostics for Ordinal
#' Regression Models: A Surrogate Approach.
#' \emph{Journal of the American Statistical Association} (accepted).
#'
#' @importFrom ggplot2 aes_string geom_abline geom_boxplot geom_point
#'
#' @importFrom ggplot2 geom_smooth ggplot ggtitle guides labs xlab ylab
#'
#' @importFrom stats .checkMFClasses lowess median model.frame model.matrix
#'
#' @importFrom stats model.response nobs pbinom pcauchy plogis pnorm ppoints
#'
#' @importFrom stats predict qcauchy qlogis qnorm qqline qqplot qqnorm quantile
#'
#' @importFrom stats qunif runif
#'
#' @docType package
#'
#' @name sure
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.