Nothing
#' OptimaRegion package description
#'
#' OptimaRegion is a package for the computation of confidence regions on the location
#' of the optima of response surface models
#' \insertCite{DelCastilloCR}{OptimaRegion}.
#' Both parametric (quadratic polynomial) and
#' nonparametric (thin plate spline) models are supported. The confidence regions
#' obtained do not rely on any distributional assumption, such as Normality of the
#' response, and are obtained by bootstrapping. The resulting regions are both valid and
#' unbiased, and have a size that rapidly decreases as the sample size increases.
#' Regions are obtained both numerically (as a set of points) and graphically, as the
#' convex hull of the points. Functionality for the computation of a bootstrap
#' confidence interval on the distance between the optima of two different response
#' surfaces is included.
#'
#' The OptimaRegion package provides five main functions:
#' OptRegionQuad, OptRegionTps, GloptiPolyRegion, CRcompare and GloptipolyR.
#'
#' OptRegionQuad computes distribution-free bootstrapped confidence regions for the
#' location of the optima of a quadratic polynomial model in 2 regressors.
#' OptRegionTps computes distribution-free bootstrapped confidence regions for the
#' location of the optima of a Thin Plate Spline model in 2 regressors.
#' GloptiPolyRegion computes distribution-free bootstrapped CRs for the location of
#' global optima for polynomial models up to cubic order in up to 5 regressors.
#' CRcompare computes bootstrapped confidence intervals for the distance between the
#' optima of two different response surface models, either quadratic polynomials or
#' thin plate spline models.
#' GloptipolyR is an R implementation of the “Gloptipoly” algorithm
#' \insertCite{lasserre2001global}{OptimaRegion}
#' for global optimization of polynomial equations subject to bounds.
#'
#' @references{
#' \insertAllCited{}
#' }
#' @importFrom Rdpack reprompt
#' @name OptimaRegion-package
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.