methods: Methods for 'kmModel' Objects

In schiffner/mobKriging: Recursive Partitioning of Kriging Models

Description

Methods for kmModel objects.

Usage

## S3 method for class 'kmModel'
coef(object, ...)

## S3 method for class 'kmModel'
deviance(object, ...)

## S3 method for class 'kmModel'
estfun(x, ...)

## S3 method for class 'kmModel'
logLik(object, ...)

## S3 method for class 'kmModel'
model.matrix(object, ...)

## S3 method for class 'kmModel'
plot(x, ...)

## S3 method for class 'kmModel'
print(x, ...)

## S3 method for class 'kmModel'
residuals(object, ...)

## S3 method for class 'kmModel'
reweight(object, weights, ...)

Arguments

object,x	[kmModel] The fitted Kriging model.
weights	[numeric] A vector of observation weights.
...	Further arguments.

Methods (by generic)

• coef: Coefficient values of a fitted km model, see coef,km-method.

• deviance: The value of the deviance (log-likelihood times -2) extracted from object.

• estfun: The empirical estimating (or score) function, i.e., the derivatives of the log-likelihood with respect to the parameters, evaluated at the training data.

• logLik: Value of the concentrated log-likelihood at its optimum.

• model.matrix: See model.matrix.

• plot: Diagnostic plots, see plot,km-method.

• print: The main features of the fitted Kriging model. See show,km-method.

• residuals: The de-correlated residuals. Extractor function for slot z of km.

• reweight: The re-weighted fitted kmModel object.

See Also

coef,km-method, deviance, estfun, logLik, model.matrix, plot,km-method, show,km-method, residuals, reweight, km.

schiffner/mobKriging documentation built on May 29, 2019, 3:39 p.m.