fix cran doc issues

business-science · Jul 16, 2024 · eeb0f28 · eeb0f28
1 parent 3940eb4
commit eeb0f28
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diff --git a/CRAN-SUBMISSION b/CRAN-SUBMISSION
@@ -1,3 +1,3 @@
 Version: 1.0.4
-Date: 2024-06-07 19:39:45 UTC
-SHA: 6c33f8845695356a2d481b2a92b5dc89649bf9e3
+Date: 2024-07-12 14:51:17 UTC
+SHA: 3940eb4c0a241672cfcc35233385bd5bd25137c2
diff --git a/R/ensemble_model_spec.R b/R/ensemble_model_spec.R
@@ -4,7 +4,7 @@
 #'
 #'
 #' A 2-stage stacking regressor that follows:
-#' 1. Stage 1: Sub-Model's are Trained & Predicted using [modeltime.resample::modeltime_fit_resamples()].
+#' 1. Stage 1: Sub-Model's are Trained & Predicted using `modeltime.resample::modeltime_fit_resamples()`.
 #' 2. Stage 2: A Meta-learner (`model_spec`) is trained on Out-of-Sample Sub-Model
 #'   Predictions using `ensemble_model_spec()`.
 #'

diff --git a/R/nested_ensemble_average.R b/R/nested_ensemble_average.R
@@ -11,7 +11,7 @@
 #'  nested modeltime table results
 #' @param model_ids A vector of id's (`.model_id`) identifying which submodels to
 #'  use in the ensemble.
-#' @param control Controls various aspects of the ensembling process. See [control_nested_fit()].
+#' @param control Controls various aspects of the ensembling process. See `modeltime::control_nested_fit()`.
 #'
 #' @returns
 #' The nested modeltime table with an ensemble model added.

diff --git a/man/ensemble_model_spec.Rd b/man/ensemble_model_spec.Rd
diff --git a/man/ensemble_nested_average.Rd b/man/ensemble_nested_average.Rd
diff --git a/man/ensemble_nested_weighted.Rd b/man/ensemble_nested_weighted.Rd