dens.hermite_estimator_bivar: Estimates the probability densities for a matrix of 2-d x...

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 calculates the probability density values for a matrix of 2-d x vector values using the hermite_estimator_bivar object (this).

Usage

## S3 method for class 'hermite_estimator_bivar'
dens(this, x, clipped = FALSE, accelerate_series = FALSE)

Arguments

this	A hermite_estimator_bivar object.
x	A numeric matrix. Each row corresponds to a 2-d coordinate.
clipped	A boolean value. This value determines whether probability densities are clipped to be bigger than zero.
accelerate_series	A boolean value. Series acceleration has not yet been implemented for bivariate estimators.

Details

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

Value

A numeric vector of probability density values.

Examples

hermite_est <- hermite_estimator_bivar(N = 10, standardize = TRUE)
hermite_est <- update_batch(hermite_est, matrix(rnorm(30*2), nrow=30, 
ncol=2, byrow = TRUE))
cdf_est <- dens(hermite_est, matrix(c(0, 0, 1, 1, 2, 2), nrow=3, ncol=2, 
byrow = TRUE))

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