Predicted values and estimate of standard errors based on an "autoFRK" model object.
# S3 method for FRK
predict(object, obsData = NULL, obsloc = NULL, mu.obs = 0,
newloc = obsloc, basis = NULL, mu.new = 0, se.report = FALSE, ...)a model object obtained from "autoFRK".
a vector with observed data used for prediction.
Default is NULL, which uses the Data input from object.
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.
a vector or scalar for the deterministic mean values at obsloc. Default is 0.
a matrix with rows being coordinates of new locations for prediction.
Default is NULL, which gives prediction at the locations of the observed data.
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.
a vector or scalar for the deterministic mean values at newloc. Default is 0.
logical; if TRUE then the standard error of prediction is reported.
not used but needed for the S3 generic/method compatibility.
A list with the components described below.
a matrix with the (i,t) element being the predicted value at i-th location and time t.
a vector with the i-th element being the standard error of the predicted value at the i-th location.