| gradients {np} | R Documentation |
gradients is a generic function which extracts gradients
from objects.
gradients(x, ...) ## S3 method for class 'condensity': gradients(x, errors = FALSE, ...) ## S3 method for class 'condistribution': gradients(x, errors = FALSE, ...) ## S3 method for class 'npregression': gradients(x, errors = FALSE, ...) ## S3 method for class 'qregression': gradients(x, errors = FALSE, ...) ## S3 method for class 'singleindex': gradients(x, errors = FALSE, ...)
x |
an object for which the extraction of gradients is meaningful. |
... |
other arguments. |
errors |
a logical value specifying whether or not standard
errors of gradients are desired. Defaults to FALSE. |
This function provides a generic interface for extraction of gradients from objects.
Gradients extracted from the model object x.
This method currently only supports objects from the np library.
Tristen Hayfield hayfield@phys.ethz.ch, Jeffrey S. Racine racinej@mcmaster.ca
See the references for the method being interrogated via
gradients in the appropriate help file. For example, for
the particulars of the gradients for nonparametric regression see the
references in npreg
fitted, residuals, coef,
and se, for related methods;
np for supported objects.
x <- runif(10) y <- x + rnorm(10, sd = 0.1) gradients(npreg(npregbw(y~x), gradients=TRUE))