Issue #486 Fix cran checks

DESCRIPTION

@@ -41,8 +41,8 @@ Description:
     Scoring metrics can be used either through a convenient data.frame format, 
     or can be applied as individual functions in a vector / matrix format. 
     All functionality has been implemented with a focus on performance and is 
-    robustly tested. Find more information about scoringutils in the 
-    accompanying paper (Bosse et al., 2022) <arXiv:2205.07090v1>. 
+    robustly tested. Find more information about the package in the 
+    accompanying paper (<doi:10.48550/arXiv.2205.07090>).
 License: MIT + file LICENSE
 Encoding: UTF-8
 LazyData: true

R/data.R

@@ -19,7 +19,7 @@
 #'   \item{model}{name of the model that generated the forecasts}
 #'   \item{horizon}{forecast horizon in weeks}
 #' }
-#' @source \url{https://github.com/covid19-forecast-hub-europe/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
+#' @source \url{https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
 "example_quantile"
 
 
@@ -45,7 +45,7 @@
 #'   \item{model}{name of the model that generated the forecasts}
 #'   \item{horizon}{forecast horizon in weeks}
 #' }
-#' @source \url{https://github.com/covid19-forecast-hub-europe/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
+#' @source \url{https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
 "example_point"
 
 
@@ -70,7 +70,7 @@
 #'   \item{prediction}{predicted value}
 #'   \item{sample}{id for the corresponding sample}
 #' }
-#' @source \url{https://github.com/covid19-forecast-hub-europe/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
+#' @source \url{https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
 "example_continuous"
 
 
@@ -125,7 +125,7 @@
 #'   \item{horizon}{forecast horizon in weeks}
 #'   \item{prediction}{predicted value}
 #' }
-#' @source \url{https://github.com/covid19-forecast-hub-europe/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
+#' @source \url{https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
 "example_binary"
 
 
@@ -148,7 +148,7 @@
 #'   \item{model}{name of the model that generated the forecasts}
 #'   \item{horizon}{forecast horizon in weeks}
 #' }
-#' @source \url{https://github.com/covid19-forecast-hub-europe/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
+#' @source \url{https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
 "example_quantile_forecasts_only"
 
 
@@ -168,7 +168,7 @@
 #'   \item{true_value}{true observed values}
 #'   \item{location_name}{name of the country for which a prediction was made}
 #' }
-#' @source \url{https://github.com/covid19-forecast-hub-europe/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
+#' @source \url{https://github.com/european-modelling-hubs/covid19-forecast-hub-europe/commit/a42867b1ea152c57e25b04f9faa26cfd4bfd8fa6/} # nolint
 "example_truth_only"
 
 #' Summary information for selected metrics

R/input-check-helpers.R

@@ -219,7 +219,7 @@ check_metrics <- function(metrics) {
 #' Quantiles must be in the range specified, increase monotonically,
 #' and contain no duplicates.
 #'
-#' This is used in [bias_range()]() and [bias_quantile()]() to
+#' This is used in [bias_range()] and [bias_quantile()] to
 #' provide informative errors to users.
 #'
 #' @param quantiles Numeric vector of quantiles to check

inst/WORDLIST

@@ -1,16 +1,18 @@
 AJ
+al
+Bosse
 Bracher
 CMD
 COVID
 CRPS
 Camacho
-Comput
 Cori
 DSS
 Dawid
 ECDC
 Eggo
 EpiNow
+et
 EuroCOVIDhub
 Gneiting
 Höhle
@@ -44,9 +46,7 @@ facetted
 facetting
 frac
 ggplot
-implict
 jss
-matriced
 medRxiv
 metacran
 miscalibrated
@@ -58,6 +58,7 @@ pval
 pvalues
 rel
 scoringRules
+scoringutils
 standalone
 u
 underprediction