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 Spearman's Correlation (Bivariate)

Description Usage Arguments Details Value Examples

View source: R/hermite_estimator_univar.R

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

1 2	## S3 method for class 'hermite_estimator_univar' dens(this, x, clipped = FALSE, accelerate_series = TRUE)

`this`	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.

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

A numeric vector of probability density values.

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hermite_est <- hermite_estimator_univar(N = 10, standardize = TRUE)
hermite_est <- update_batch(hermite_est, rnorm(30))
pdf_est <- dens(hermite_est, c(0, 0.5, 1))