update_sequential {hermiter} | R Documentation |
Updates the Hermite series based estimator sequentially
Description
This method can be applied in sequential estimation settings.
Usage
update_sequential(h_est_obj, x)
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. |
Value
An object of class hermite_estimator_univar or hermite_estimator_bivar.
Examples
## Not run:
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))
## End(Not run)
[Package hermiter version 2.3.1 Index]