correct metadata for porto data

DESCRIPTION

@@ -1,21 +1,20 @@
 Package: mobirep
 Title: Models Bivariate Dependence and Produces Bivariate Return Periods
-Version: 0.2.2
+Version: 0.2.3
 Authors@R: 
     person(given = "Alois",
            family = "Tilloy",
            role = c("aut", "cre"),
            email = "[email protected]",
            comment = c(ORCID = "https://orcid.org/0000-0002-5881-0642"))
-Description: Provides a set of function that model the
-    dependence between two variables in the extremes, select most 
-    relevant models, estimate bivariate return periods and create 
-    bivariate level curves.
-    references supporting the methods used in the package:
-    main article: Tilloy et al. (2020) <doi:10.5194/nhess-20-2091-2020>
-    supporting references for condtional extremes model:Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>
-    supporting reference for Jt-KDE model: Cooley et al. (2019) <doi:10.1007/s10687-019-00348-0>
-    supporting reference for copula modelling: Nelsen (2006) <doi:10.1007/0-387-28678-0>
+Description: Models the dependence between two variables in the extremes, select most 
+    relevant models, estimate bivariate return periods and create bivariate level curves. 
+    Methods used in the package are described in the following reference:
+    Tilloy, Malamud, Winter and Joly-Laugel (2020) <doi:10.5194/nhess-20-2091-2020>
+    Supporting references for the conditional extremes model, Jt-KDE model and for copula modelling are the following: 
+    Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>
+    Cooley, Thibaud, Castillo and Wehner (2019) <doi:10.1007/s10687-019-00348-0>
+    Nelsen (2006) <doi:10.1007/0-387-28678-0>.
 License: GPL (>= 3)
 Encoding: UTF-8
 LazyData: True

R/porto_data.R

@@ -1,22 +1,28 @@
 #' Fire and extreme temperature in portugal
 #'
-#' Data from a QTL experiment on gravitropism in
-#' Arabidopsis, with data on 162 recombinant inbred lines (Ler x
-#' Cvi). The outcome is the root tip angle (in degrees) at two-minute
-#' increments over eight hours.
+#' Bivariate dataset of daily mean temperature and number of wildfires in the Porto
+#' district (Portugal) for the period 1980 to 2005. Daily mean temperature data
+#' from E-OBS (Cornes et al. (2018) <doi:10.1029/2017JD028200>
+#' and wildfire data from Pereira et al. (2011) <10.5194/nhess-11-3343-2011>.
+
 #'
 #' @docType data
 #'
 #' @usage data(porto)
 #'
-#' @format An object of class \code{"cross"}; see \code{\link[qtl]{read.cross}}.
-#'
+#' @format A dataframe composed of two column:
+#' #' \itemize{
+#' \item temp2.temperature (mean daily temperature in °C)
+#' \item temp2.nb (daily number of wildfires)
+#'}
 #' @keywords datasets
 #'
-#' @references Tilloy et al. (2020)
+#' @references
+#' Tilloy, A., Malamud, B.D., Winter, H. and Joly-Laugel, A., 2020.
+#' Evaluating the efficacy of bivariate extreme modelling approaches
+#' for multi-hazard scenarios. Natural Hazards and Earth System Sciences, 20(8), pp.2091-2117.
 "fire01meantemp"
 
-#'
 #'
 #' @examples
 #' data(porto)

R/supplement.funct.R

@@ -1,6 +1,6 @@
 
-#' Automatically select analaugous datasets from the 60 datasets created in Tilloy et al.(2020)
-#' see: https://nhess.copernicus.org/articles/20/2091/2020/nhess-20-2091-2020.html for more detaila
+#' Automatically select analaugous datasets from the 60 datasets created in Tilloy et al.(2020).
+#' See: https://nhess.copernicus.org/articles/20/2091/2020/nhess-20-2091-2020.html for more detail.
 #'
 #' @param u2 Two column data frame
 #' @export