merge_hermite_bivar: Merges a list of bivariate Hermite estimators
In hermiter: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
View source: R/hermite_estimator_bivar.R
merge_hermite_bivar R Documentation
Merges a list of bivariate Hermite estimators
Description
This method allows a list of Hermite based estimators of class
hermite_estimator_bivar to be consistently merged.
Usage
merge_hermite_bivar(hermite_estimators)
Arguments
hermite_estimators
A list of hermite_estimator_bivar objects.
Details
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_bivar inputs.
If the input Hermite estimators are standardized however, then the
equivalence will be approximate but still accurate in most cases.
Value
An object of class hermite_estimator_bivar.
hermiter documentation built on May 31, 2023, 6:30 p.m.
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View source: R/hermite_estimator_bivar.R
| merge_hermite_bivar | R Documentation |
Merges a list of bivariate Hermite estimators
Description
This method allows a list of Hermite based estimators of class hermite_estimator_bivar to be consistently merged.
Usage
merge_hermite_bivar(hermite_estimators)
Arguments
hermite_estimators |
A list of hermite_estimator_bivar objects. |
Details
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_bivar inputs. If the input Hermite estimators are standardized however, then the equivalence will be approximate but still accurate in most cases.
Value
An object of class hermite_estimator_bivar.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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