update_batch.hermite_estimator_univar: Updates the Hermite series based estimator with a batch 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)

Description

This method can be applied in one-pass batch estimation settings. This method cannot be used with an exponentially weighted estimator.

Usage

## S3 method for class 'hermite_estimator_univar'
update_batch(this, x)

Arguments

this	A hermite_estimator_univar object.
x	A numeric vector. A vector of observations to be incorporated into the estimator.

Value

An object of class hermite_estimator_univar.

Examples

hermite_est <- hermite_estimator_univar(N = 10, standardize = TRUE)
hermite_est <- update_batch(hermite_est, x = c(1, 2))

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