diff --git a/R/double_ml.R b/R/double_ml.R
index 0edba758..afdd4697 100644
--- a/R/double_ml.R
+++ b/R/double_ml.R
@@ -378,7 +378,7 @@ DoubleML = R6Class("DoubleML",
           }
 
           # ml estimation of nuisance models and computation of psi elements
-          res = private$ml_nuisance_and_score_elements(private$get__smpls())
+          res = private$nuisance_est(private$get__smpls())
           private$psi_a_[, private$i_rep, private$i_treat] = res$psi_a
           private$psi_b_[, private$i_rep, private$i_treat] = res$psi_b
           if (store_predictions) {
@@ -814,7 +814,7 @@ DoubleML = R6Class("DoubleML",
         if (tune_on_folds) {
           for (i_rep in 1:self$n_rep) {
             private$i_rep = i_rep
-            param_tuning = private$ml_nuisance_tuning(
+            param_tuning = private$nuisance_tuning(
               private$get__smpls(),
               param_set, tune_settings, tune_on_folds)
             private$tuning_res_[[i_treat]][[i_rep]] = param_tuning
@@ -833,7 +833,7 @@ DoubleML = R6Class("DoubleML",
           }
         } else {
           private$i_rep = 1
-          param_tuning = private$ml_nuisance_tuning(
+          param_tuning = private$nuisance_tuning(
             private$get__smpls(),
             param_set, tune_settings, tune_on_folds)
           private$tuning_res_[[i_treat]] = param_tuning
diff --git a/R/double_ml_iivm.R b/R/double_ml_iivm.R
index c2507a94..067f2200 100644
--- a/R/double_ml_iivm.R
+++ b/R/double_ml_iivm.R
@@ -276,7 +276,7 @@ DoubleMLIIVM = R6Class("DoubleMLIIVM",
         "ml_r1" = nuisance)
       invisible(self)
     },
-    ml_nuisance_and_score_elements = function(smpls, ...) {
+    nuisance_est = function(smpls, ...) {
 
       if (self$subgroups$always_takers == FALSE &
         self$subgroups$never_takers == FALSE) {
@@ -396,7 +396,7 @@ DoubleMLIIVM = R6Class("DoubleMLIIVM",
       }
       return(psis)
     },
-    ml_nuisance_tuning = function(smpls, param_set, tune_settings,
+    nuisance_tuning = function(smpls, param_set, tune_settings,
       tune_on_folds, ...) {
 
       if (!tune_on_folds) {
diff --git a/R/double_ml_irm.R b/R/double_ml_irm.R
index 6c0b1eb9..f78f7556 100644
--- a/R/double_ml_irm.R
+++ b/R/double_ml_irm.R
@@ -214,7 +214,7 @@ DoubleMLIRM = R6Class("DoubleMLIRM",
         "ml_m" = nuisance)
       invisible(self)
     },
-    ml_nuisance_and_score_elements = function(smpls, ...) {
+    nuisance_est = function(smpls, ...) {
 
       cond_smpls = get_cond_samples(
         smpls,
@@ -303,7 +303,7 @@ DoubleMLIRM = R6Class("DoubleMLIRM",
       }
       return(psis)
     },
-    ml_nuisance_tuning = function(smpls, param_set, tune_settings,
+    nuisance_tuning = function(smpls, param_set, tune_settings,
       tune_on_folds, ...) {
 
       if (!tune_on_folds) {
diff --git a/R/double_ml_pliv.R b/R/double_ml_pliv.R
index 8ae34e3a..5616b20e 100644
--- a/R/double_ml_pliv.R
+++ b/R/double_ml_pliv.R
@@ -444,22 +444,22 @@ DoubleMLPLIV = R6Class("DoubleMLPLIV",
       names(private$params_) = param_names
       invisible(self)
     },
-    ml_nuisance_and_score_elements = function(smpls, ...) {
+    nuisance_est = function(smpls, ...) {
       if (self$partialX & !self$partialZ) {
-        res = private$ml_nuisance_and_score_elements_partialX(smpls, ...)
+        res = private$nuisance_est_partialX(smpls, ...)
 
       } else if (!self$partialX & self$partialZ) {
-        res = private$ml_nuisance_and_score_elements_partialZ(smpls, ...)
+        res = private$nuisance_est_partialZ(smpls, ...)
 
       } else if (self$partialX & self$partialZ) {
-        res = private$ml_nuisance_and_score_elements_partialXZ(smpls, ...)
+        res = private$nuisance_est_partialXZ(smpls, ...)
 
       }
 
       return(res)
     },
 
-    ml_nuisance_and_score_elements_partialX = function(smpls, ...) {
+    nuisance_est_partialX = function(smpls, ...) {
 
       l_hat = dml_cv_predict(self$learner$ml_l,
         c(self$data$x_cols, self$data$other_treat_cols),
@@ -602,7 +602,7 @@ DoubleMLPLIV = R6Class("DoubleMLPLIV",
       }
       return(psis)
     },
-    ml_nuisance_and_score_elements_partialXZ = function(smpls, ...) {
+    nuisance_est_partialXZ = function(smpls, ...) {
 
       l_hat = dml_cv_predict(self$learner$ml_l,
         c(self$data$x_cols, self$data$other_treat_cols),
@@ -674,7 +674,7 @@ DoubleMLPLIV = R6Class("DoubleMLPLIV",
       return(res)
     },
 
-    ml_nuisance_and_score_elements_partialZ = function(smpls, ...) {
+    nuisance_est_partialZ = function(smpls, ...) {
 
       # nuisance r
 
@@ -712,22 +712,22 @@ DoubleMLPLIV = R6Class("DoubleMLPLIV",
     },
 
 
-    ml_nuisance_tuning = function(smpls, param_set, tune_settings,
+    nuisance_tuning = function(smpls, param_set, tune_settings,
       tune_on_folds, ...) {
       if (self$partialX & !self$partialZ) {
-        res = private$ml_nuisance_tuning_partialX(
+        res = private$nuisance_tuning_partialX(
           smpls, param_set,
           tune_settings,
           tune_on_folds, ...)
 
       } else if (!self$partialX & self$partialZ) {
-        res = private$ml_nuisance_tuning_partialZ(
+        res = private$nuisance_tuning_partialZ(
           smpls, param_set,
           tune_settings,
           tune_on_folds, ...)
 
       } else if (self$partialX & self$partialZ) {
-        res = private$ml_nuisance_tuning_partialXZ(
+        res = private$nuisance_tuning_partialXZ(
           smpls, param_set,
           tune_settings,
           tune_on_folds, ...)
@@ -736,7 +736,7 @@ DoubleMLPLIV = R6Class("DoubleMLPLIV",
       return(res)
     },
 
-    ml_nuisance_tuning_partialX = function(smpls, param_set,
+    nuisance_tuning_partialX = function(smpls, param_set,
       tune_settings, tune_on_folds, ...) {
 
       if (!tune_on_folds) {
@@ -892,7 +892,7 @@ DoubleMLPLIV = R6Class("DoubleMLPLIV",
 
     },
 
-    ml_nuisance_tuning_partialXZ = function(smpls, param_set,
+    nuisance_tuning_partialXZ = function(smpls, param_set,
       tune_settings, tune_on_folds, ...) {
 
       if (!tune_on_folds) {
@@ -968,7 +968,7 @@ DoubleMLPLIV = R6Class("DoubleMLPLIV",
       return(tuning_result)
     },
 
-    ml_nuisance_tuning_partialZ = function(smpls, param_set,
+    nuisance_tuning_partialZ = function(smpls, param_set,
       tune_settings, tune_on_folds, ...) {
       if (!tune_on_folds) {
         data_tune_list = list(self$data$data_model)
diff --git a/R/double_ml_plr.R b/R/double_ml_plr.R
index 8fb6ca43..e418d595 100644
--- a/R/double_ml_plr.R
+++ b/R/double_ml_plr.R
@@ -379,7 +379,7 @@ DoubleMLPLR = R6Class("DoubleMLPLR",
       invisible(self)
     },
 
-    ml_nuisance_and_score_elements = function(smpls, ...) {
+    nuisance_est = function(smpls, ...) {
 
       l_hat = dml_cv_predict(self$learner$ml_l,
         c(self$data$x_cols, self$data$other_treat_cols),
@@ -459,7 +459,7 @@ DoubleMLPLR = R6Class("DoubleMLPLR",
       }
       return(psis)
     },
-    ml_nuisance_tuning = function(smpls, param_set, tune_settings,
+    nuisance_tuning = function(smpls, param_set, tune_settings,
       tune_on_folds, ...) {
 
       if (!tune_on_folds) {
diff --git a/man/figures/oop.svg b/man/figures/oop.svg
index 4837b3eb..8d426d97 100644
--- a/man/figures/oop.svg
+++ b/man/figures/oop.svg
@@ -1,7 +1,8 @@
 <?xml version='1.0' encoding='UTF-8'?>
-<!-- This file was generated by dvisvgm 2.8.1 -->
+<!-- This file was generated by dvisvgm 2.13.4 -->
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 <defs>
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@@ -40,7 +41,6 @@
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@@ -64,10 +64,10 @@
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