dens.hermite_estimator_univar: Estimates the probability density for a vector of x values

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)

Estimates the probability density for a vector of x values

Description

This method calculates the probability density values at a vector of x values using the hermite_estimator_univar object (h_est_obj).

Usage

## S3 method for class 'hermite_estimator_univar'
dens(h_est_obj, x, clipped = FALSE, accelerate_series = TRUE)

Arguments

h_est_obj	A hermite_estimator_univar object.
x	A numeric vector. Values at which to estimate the probability density.
clipped	A boolean value. This value determines whether probability densities are clipped to be bigger than zero.
accelerate_series	A boolean value. This value determines whether Hermite series acceleration is applied.

Details

The object must be updated with observations prior to the use of the method.

Value

A numeric vector of probability density values.

hermiter documentation built on May 29, 2024, 2:09 a.m.