Evaluate the Diagonal of a Bivariate Functional Data Object
Bivariate function data objects are functions of two arguments, $f(s,t)$. It can be useful to evaluate the function for argument values satisfying $s=t$, such as evaluating the univariate variance function given the bivariate function that defines the variance-covariance function or surface. A linear differential operator can be applied to function $f(s,t)$ considered as a univariate function of either object holding the other object fixed.
evaldiag.bifd(evalarg, bifdobj, sLfd=int2Lfd(0), tLfd=int2Lfd(0))
evalarg |
a vector of values of $s = t$. |
bifdobj |
a bivariate functional data object of the |
sLfd |
either a nonnegative integer or a linear differential operator object. |
tLfd |
either a nonnegative integer or a linear differential operator object. |
a vector or matrix of diagonal function values.
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