predict.FRK: Predict method for Fixed Rank Kriging

In autoFRK: Automatic Fixed Rank Kriging

Description

Predicted values and estimate of standard errors based on an "autoFRK" model object.

Usage

## S3 method for class 'FRK'
predict(
  object,
  obsData = NULL,
  obsloc = NULL,
  mu.obs = 0,
  newloc = obsloc,
  basis = NULL,
  mu.new = 0,
  se.report = FALSE,
  ...
)

Arguments

object	a model object obtained from "autoFRK".
obsData	a vector with observed data used for prediction. Default is NULL, which uses the Data input from object.
obsloc	a matrix with rows being coordinates of observation locations for obsData. Only object using mrts basis functions can have obsloc different from the loc input of object; not applicable for user-specified basis functions. Default is NULL, which uses the loc input of object.
mu.obs	a vector or scalar for the deterministic mean values at obsloc. Default is 0.
newloc	a matrix with rows being coordinates of new locations for prediction. Default is NULL, which gives prediction at the locations of the observed data.
basis	a matrix with each column being a basis function taken values at newloc. It can be omitted if object was fitted using default mrts basis functions.
mu.new	a vector or scalar for the deterministic mean values at newloc. Default is 0.
se.report	logical; if TRUE then the standard error of prediction is reported.
...	not used but needed for the S3 generic/method compatibility.

Value

A list with the components described below.

pred.value	a matrix with the (i,t) element being the predicted value at i-th location and time t.
se	a vector with the i-th element being the standard error of the predicted value at the i-th location.

Author(s)

ShengLi Tzeng and Hsin-Cheng Huang.

See Also

autoFRK

autoFRK documentation built on March 13, 2021, 1:07 a.m.