merge_moments_and_count_univar: Internal method to consistently merge the number of...
In hermiter: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Spearman's Correlation (Bivariate)

View source: R/hermite_estimator_univar.R

The algorithm to merge the variances consistently comes from Schubert, Erich, and Michael Gertz. "Numerically stable parallel computation of (co-) variance." Proceedings of the 30th International Conference on Scientific and Statistical Database Management. 2018.

1	merge_moments_and_count_univar(hermite_estimator1, hermite_estimator2)

`hermite_estimator1`	A hermite_estimator_univar object.
`hermite_estimator2`	A hermite_estimator_univar object.

An object of class hermite_estimator_univar.

hermiter documentation built on Nov. 17, 2021, 1:07 a.m.

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hermiter
Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Spearman's Correlation (Bivariate)

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hermiter Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Spearman's Correlation (Bivariate)