Release 1.16

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: mev
 Type: Package
 Title: Modelling of Extreme Values
-Version: 1.15.5
+Version: 1.16
 Authors@R: c(person(given="Leo", family="Belzile", role = c("aut", "cre"), email = "belzilel@gmail.com", comment = c(ORCID = "0000-0002-9135-014X")), person(given="Jennifer L.", family="Wadsworth", role=c("aut")), person(given="Paul J.", family="Northrop", role=c("aut")), person(given="Scott D.", family="Grimshaw", role=c("aut")), person(given="Jin", family="Zhang", role=c("ctb")), person(given="Michael A.", family="Stephens", role=c("ctb")), person(given="Art B.", family="Owen", role=c("ctb")), person(given="Raphael", family="Huser", role=c("aut")))
 Description: Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes [Dombry, Engelke and Oesting (2016) <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.
 License: GPL-3

NAMESPACE

@@ -152,7 +152,6 @@ export(infomat.test)
 export(intensBR)
 export(intensXstud)
 export(jac)
-export(kjtail)
 export(lambdadep)
 export(likmgp)
 export(maxstabtest)

NEWS.md

@@ -1,5 +1,4 @@
-# mev 1.16
-
+# mev 1.16  (Release date 2023-11-30)
 
 ## New:
 

R/RcppExports.R

@@ -298,7 +298,6 @@ mvrnorm <- function(n, mu, Sigma) {
 
 #' Generates from \eqn{Q_i}{Qi}, the spectral measure of the extremal Student model
 #'
-#' @param index index of the location. An integer in 0, ..., \eqn{d-1}
 #' @param sigma a positive semi-definite covariance matrix with unit variance
 #' @param al the alpha parameter in Proposition 7. Corresponds to degrees of freedom - 1
 #' @keywords internal

R/datasets.R

@@ -195,7 +195,7 @@ NULL
 
 #' Deaths from pandemics
 #'
-#' The data base contains estimated records of the number of deaths from pandemics. 
+#' The data base contains estimated records of the number of deaths from pandemics.
 #' @format A data frame with 72 rows and 8 variables:
 #' \describe{
 #'   \item{\code{event}}{name of the event}
@@ -205,8 +205,8 @@ NULL
 #'   \item{\code{average}}{average estimated deaths (in thousands)}
 #'   \item{\code{upper}}{upper bound on estimated deaths (in thousands)}
 #'   \item{\code{saverage}}{scaled average of estimated deaths (in thousands)}
-#'   \item{\code{population}}{estimated population at risk (in thousands)} 
+#'   \item{\code{population}}{estimated population at risk (in thousands)}
 #' }
 #' @name pandemics
-#' @source Cirillo, P. and N.N. Taleb (2020). \emph{Tail risk of contagious diseases}. Nat. Phys. \bold{16}, 606–613 (2020). \url{https://doi.org/10.1038/s41567-020-0921-x}
+#' @source Cirillo, P. and N.N. Taleb (2020). \emph{Tail risk of contagious diseases}. Nat. Phys. \bold{16}, 606–613 (2020). <doi:10.1038/s41567-020-0921-x>
 "pandemics"