mlr3inference -> mlr3inferr

DESCRIPTION

@@ -49,7 +49,7 @@ Suggests:
     mlr3cluster,
     mlr3filters,
     mlr3fselect (>= 1.0.0),
-	mlr3inference,
+	mlr3inferr,
     mlr3learners,
     mlr3tuning (>= 1.0.0),
     paradox,
@@ -66,7 +66,7 @@ Suggests:
     mlr3proba (>= 0.6.3)
 Remotes:
     mlr-org/mlr3proba,
-    mlr-org/mlr3inference
+    mlr-org/mlr3inferr
 Additional_repositories:
   https://mlr-org.r-universe.dev
 Config/testthat/edition: 3

NEWS.md

@@ -1,7 +1,7 @@
 # mlr3viz (development version)
 
 - Add plot for `LearnerSurvCoxPH`.
-- Add plot for confidence intervals (`mlr3inference`)
+- Add plot for confidence intervals (`mlr3inferr`)
 
 # mlr3viz 0.9.0
 

R/BenchmarkResult.R

@@ -12,7 +12,7 @@
 #'   Requires package \CRANpkg{precrec}.
 #' * `"prc"`: Precision recall curve.
 #'    See `"roc"`.
-#' * `"ci"`: Plot confidence intervals. Pass a `msr("ci", ...)` from the `mlr3inference` package as argument `measure`.
+#' * `"ci"`: Plot confidence intervals. Pass a `msr("ci", ...)` from the `mlr3inferr` package as argument `measure`.
 #'
 #' @param object ([mlr3::BenchmarkResult]).
 #' @template param_type
@@ -48,7 +48,7 @@ autoplot.BenchmarkResult = function(object, type = "boxplot", measure = NULL, th
   measure = mlr3::assert_measure(mlr3::as_measure(measure, task_type = task$task_type), task = task)
 
   if (identical(type, "ci")) {
-    mlr3misc::require_namespaces("mlr3inference")
+    mlr3misc::require_namespaces("mlr3inferr")
 
     assert_class(measure, "MeasureAbstractCi")
     mid = measure$id

tests/testthat/test_BenchmarkResult.R

@@ -49,7 +49,7 @@ test_that("holdout roc plot (#54)", {
   expect_doppelganger("bmr_holdout_roc", p)
 })
 
-skip_if_not_installed("mlr3inference")
+skip_if_not_installed("mlr3inferr")
 skip_if_not_installed("rpart")
 
 test_that("CI plot", {