density.hermite_estimator_bivar: Creates an object summarizing the bivariate PDF with...

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 bivariate PDF with associated generic methods print and plot.

Description

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

Usage

## S3 method for class 'hermite_estimator_bivar'
density(x, x_lower = NA, x_upper = NA, ...)

Arguments

x	A hermite_estimator_bivar object.
x_lower	A numeric vector. This vector determines the lower limit of x values at which to evaluate the density.
x_upper	A numeric vector. This vector determines the upper limit of x values at which to evaluate the density.
...	Additional arguments for the dens function.

Value

A hdensity_bivar object whose underlying structure is a list containing the following components.

x: The points at which the density is calculated. x_vals_1: Marginal quantiles of first random variable, used for plotting. x_vals_2: Marginal quantiles of second random variable, used for plotting. density_vals: The density values at the points x. num_obs: The number of observations used to form the Hermite density estimates. N: The number of terms N in the Hermite series estimator.

hermiter documentation built on May 31, 2023, 6:30 p.m.