apply styler

Author: PhilippBach

R/double_ml_ssm.R

@@ -45,23 +45,23 @@
 #' dml_data = make_ssm_data(n_obs = n_obs, mar = TRUE)
 #' dml_ssm = DoubleMLSSM$new(dml_data, ml_g = ml_g, ml_m = ml_m, ml_pi = ml_pi,
 #'   score = "missing-at-random")
-#' 
+#'
 #' param_grid = list(
-#'  "ml_g" = paradox::ps(
-#'    cp = paradox::p_dbl(lower = 0.01, upper = 0.02),
-#'    minsplit = paradox::p_int(lower = 1, upper = 2)),
-#' "ml_m" = paradox::ps(
-#'   cp = paradox::p_dbl(lower = 0.01, upper = 0.02),
-#'   minsplit = paradox::p_int(lower = 1, upper = 2)),
+#'   "ml_g" = paradox::ps(
+#'     cp = paradox::p_dbl(lower = 0.01, upper = 0.02),
+#'     minsplit = paradox::p_int(lower = 1, upper = 2)),
+#'   "ml_m" = paradox::ps(
+#'     cp = paradox::p_dbl(lower = 0.01, upper = 0.02),
+#'     minsplit = paradox::p_int(lower = 1, upper = 2)),
 #'   "ml_pi" = paradox::ps(
-#'   cp = paradox::p_dbl(lower = 0.01, upper = 0.02),
-#'   minsplit = paradox::p_int(lower = 1, upper = 2)))
+#'     cp = paradox::p_dbl(lower = 0.01, upper = 0.02),
+#'     minsplit = paradox::p_int(lower = 1, upper = 2)))
 #'
 #' # minimum requirements for tune_settings
 #' tune_settings = list(
 #'   terminator = mlr3tuning::trm("evals", n_evals = 5),
 #'   algorithm = mlr3tuning::tnr("grid_search", resolution = 5))
-#' 
+#'
 #' dml_ssm$tune(param_set = param_grid, tune_settings = tune_settings)
 #' dml_ssm$fit()
 #' dml_ssm$summary()