Merge branch 'master' of github.com:DoubleML/doubleml-for-r into 0.4.X

Author: MalteKurz

R/datasets.R

@@ -813,7 +813,7 @@ make_iivm_data = function(n_obs = 500, dim_x = 20, theta = 1, alpha_x = 0.2,
 #' `cluster_vars` is returned.
 #' Every entry in the list is a `matrix()` object.  Default is `"DoubleMLClusterData"`.
 #'
-#' @param ... \cr
+#' @param ...
 #' Additional keyword arguments to set non-default values for the parameters
 #' \eqn{\pi_{10}=1.0},
 #' \eqn{\omega_X = \omega_{\varepsilon} = \omega_V = \omega_v = (0.25, 0.25)},

R/double_ml.R

@@ -719,7 +719,7 @@ DoubleML = R6Class("DoubleML",
     #' in the [mlr3tuning](https://mlr3tuning.mlr-org.com/) package. For more
     #' information on tuning in [mlr3](https://mlr3.mlr-org.com/), we refer to
     #' the section on parameter tuning in the
-    #' [mlr3 book](https://mlr3book.mlr-org.com/tuning.html).
+    #' [mlr3 book](https://mlr3book.mlr-org.com/optimization.html#tuning).
     #'
     #' @param param_set (named `list()`) \cr
     #' A named `list` with a parameter grid for each nuisance model/learner