This method allows a list of Hermite based estimators of class hermite_estimator_univar to be consistently merged.
A list of hermite_estimator_univar objects.
Note that the N and standardize arguments must be the same for all estimators in order to merge them. In addition, note that exponentially weighted estimators cannot be merged. If the Hermite estimators are not standardized, the merged estimator will be exactly equivalent to constructing a single estimator on the data set formed by combining the data sets used to update the respective hermite_estimator_univar inputs. If the input Hermite estimators are standardized however, then the equivalence will be approximate but still accurate in most cases.
An object of class hermite_estimator_univar.
1 2 3 4 5
hermite_est_1 <- hermite_estimator_univar(N = 10, standardize = FALSE) hermite_est_1 <- update_batch(hermite_est_1, rnorm(30)) hermite_est_2 <- hermite_estimator_univar(N = 10, standardize = FALSE) hermite_est_2 <- update_batch(hermite_est_2, rnorm(30)) hermite_merged <- merge_hermite(list(hermite_est_1, hermite_est_2))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.