bifdPar: Define a Bivariate Functional Parameter Object
Description
Functional parameter objects are used as arguments to functions that
estimate functional parameters, such as smoothing functions like
smooth.basis. A bivariate functional parameter object supplies
the analogous information required for smoothing bivariate data using
a bivariate functional data object $x(s,t)$. The arguments are the same as
those for fdPar objects, except that two linear differential
operator objects and two smoothing parameters must be applied,
each pair corresponding to one of the arguments $s$ and $t$ of the
bivariate functional data object.
either a nonnegative integer or a linear differential operator
object for the first argument $s$.
If NULL, Lfdobjs depends on bifdobj[['sbasis']][['type']]:
bspline
{
Lfdobjs <- int2Lfd(max(0, norder-2)),
Value
a bivariate functional parameter object (i.e., an object of class bifdPar),
which is a list with the following components:
bifda functional data object (i.e., with class bifd)
Lfdobjsa linear differential operator object (i.e., with class
Lfdobjs)
Lfdobjta linear differential operator object (i.e., with class
Lfdobjt)
Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009)
Functional Data Analysis in R and Matlab, Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2005), Functional
Data Analysis, 2nd ed., Springer, New York.
Ramsay, James O., and Silverman, Bernard W. (2002), Applied
Functional Data Analysis, Springer, New York
#See the prediction of precipitation using temperature as#the independent variable in the analysis of the daily weather#data, and the analysis of the Swedish mortality data.