R/pkgname.R

#' Store the useful functions used during the thesis of Antoine Pissoort.
#' Package building has been made with the use of \code{roxygen2}
#' the functions are divided in several blocks
#' \itemize{
#' \item 'Standard' (frequentist) Extreme Value Analysis, both stationary
#' and nonstationary.
#' \item Neural Netowrks
#' \item bootstrap evaluation and performance comparisons (check if we include it)
#' \item Bayesian analysis
#' }
#' @references Jan Beirlant, Yuri Goegebeur, Johan Segers,
#'  and Jozef Teugels. Statistics of Extremes: Theory and Applications.
#'  John Wiley & Sons, March 2006.
#'
#' Stuart Coles. An Introduction to Statistical Modeling of Extreme Values.
#'  Springer Series in Statistics. Springer London, London, 2001.
#'
#' Alex J. Cannon. A flexible nonlinear modelling framework for
#' nonstationary generalized extreme value analysis in hydroclimatology.
#'  Hydrological Processes, 24(6):673–685, March 2010.
#'
#' Dipak K. Dey and Jun Yan. Extreme Value Modeling and Risk Analysis:
#'  Methods and Applications. CRC Press, January 2016.
#'
#' Marcelo Hartmann and Ricardo Ehlers. Bayesian Inference for
#' Generalized Extreme Value Distributions via Hamiltonian Monte Carlo.
#' Communications in Statistics - Simulation and Computation, pages 0–0, March 2016.
"_PACKAGE"
proto4426/PissoortThesis documentation built on May 26, 2019, 10:31 a.m.