cum_prob.hermite_estimator_univar: Estimates the cumulative probability 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 cumulative probability for a vector of x values

Description

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

Usage

## S3 method for class 'hermite_estimator_univar'
cum_prob(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 cumulative probability
clipped	A boolean value. This value determines whether cumulative probabilities are clipped to lie within the range [0,1].
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 this method.

Value

A numeric vector of cumulative probability values.

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