Update NAMESPACE imports and documentation

NAMESPACE

@@ -116,6 +116,7 @@ importFrom(data.table,melt)
 importFrom(data.table,nafill)
 importFrom(data.table,rbindlist)
 importFrom(data.table,setDT)
+importFrom(data.table,setattr)
 importFrom(data.table,setcolorder)
 importFrom(data.table,setnames)
 importFrom(ggdist,geom_lineribbon)

R/get_-functions.R

@@ -152,12 +152,6 @@ get_metrics <- function(scores) {
 #' [get_protected_columns()] as well as the names of the metrics that were
 #' specified during scoring, if any.
 #' @inheritParams validate_forecast
-#' @param check_conflict Whether or not to check whether there is a conflict
-#' between a stored attribute and the inferred forecast unit. When you create
-#' a forecast object, the forecast unit is stored as an attribute. If you
-#' later change the columns of the data, the forecast unit as inferred from the
-#' data might change compared to the stored attribute. Should this result in a
-#' warning? Defaults to FALSE.
 #' @return A character vector with the column names that define the unit of
 #' a single forecast
 #' @export

R/score.R

@@ -76,7 +76,7 @@ score.default <- function(data, ...) {
 }
 
 #' @importFrom stats na.omit
-#' @importFrom data.table na.omit setattr
+#' @importFrom data.table setattr
 #' @rdname score
 #' @export
 score.forecast_binary <- function(data, metrics = rules_binary(), ...) {
@@ -97,7 +97,8 @@ score.forecast_binary <- function(data, metrics = rules_binary(), ...) {
 
 
 #' @importFrom Metrics se ae ape
-#' @importFrom data.table na.omit setattr
+#' @importFrom stats na.omit
+#' @importFrom data.table setattr
 #' @rdname score
 #' @export
 score.forecast_point <- function(data, metrics = rules_point(), ...) {
@@ -115,7 +116,8 @@ score.forecast_point <- function(data, metrics = rules_point(), ...) {
   return(data[])
 }
 
-#' @importFrom data.table na.omit setattr
+#' @importFrom stats na.omit
+#' @importFrom data.table setattr
 #' @rdname score
 #' @export
 score.forecast_sample <- function(data, metrics = rules_sample(), ...) {
@@ -152,8 +154,9 @@ score.forecast_sample <- function(data, metrics = rules_sample(), ...) {
   return(data[])
 }
 
-#' @importFrom data.table na.omit setattr
-#' @importFrom data.table `:=` as.data.table rbindlist %like%
+
+#' @importFrom stats na.omit
+#' @importFrom data.table `:=` as.data.table rbindlist %like% setattr
 #' @rdname score
 #' @export
 score.forecast_quantile <- function(data, metrics = rules_quantile(), ...) {