hcdf: Creates an object summarizing the CDF with associated generic...

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)

Creates an object summarizing the CDF with associated generic methods print, plot and summary.

Description

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

Usage

hcdf(
  h_est_obj,
  clipped = FALSE,
  accelerate_series = TRUE,
  x_lower = NA,
  x_upper = NA
)

Arguments

h_est_obj	A hermite_estimator_univar or hermite_estimator_bivar object.
clipped	A boolean value. This value determines whether cumulative probabilities are clipped to lie between 0 and 1.
accelerate_series	A boolean value. This value determines whether Hermite series acceleration is applied.
x_lower	A numeric value (univariate) or a numeric vector (bivariate). This value determines the lower limit of x values at which to evaluate the CDF.
x_upper	A numeric value (univariate) or a numeric vector (bivariate). This value determines the upper limit of x values at which to evaluate the CDF.

Value

A hcdf_univar or hcdf_bivar object.

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