hermiter (version 2.3.1)

update_sequential: Updates the Hermite series based estimator sequentially

Description

This method can be applied in sequential estimation settings.

Usage

update_sequential(h_est_obj, x)

Value

An object of class hermite_estimator_univar or hermite_estimator_bivar.

Arguments

h_est_obj

A hermite_estimator_univar or hermite_estimator_bivar object.

x

A numeric vector or matrix. Observations to be incorporated into the estimator. Note that for univariate estimators, x is a numeric vector whereas for bivariate estimators, x is a numeric vector of length 2 or a n x 2 matrix with n bivariate observations to be incorporated into the estimator.

Examples

if (FALSE) {
hermite_est <- hermite_estimator(N = 10, standardize = TRUE, 
est_type="univariate")
hermite_est <- update_sequential(hermite_est, x = 2)
hermite_est <- hermite_estimator(N = 10, standardize = TRUE, 
est_type="bivariate")
hermite_est <- update_sequential(hermite_est, x = c(1,2))
}