Rmodels must be functions or objects that have a predict
method, such as lm objects. Models defined as functions will
be called once with an expression of the form y <- f(X) where
X is the design of experiments, i.e. a data.frame with
p columns (the input factors) and n lines (each, an
experiment), and y is the vector of length n of the
model responses (we say that such functions are vectorized).
If the model is external to R, for instance a computational code, it
must be analyzed with the decoupled approach, see
decoupling. This approach can also be used on Rmodels
that doesn't fit the specifications.
src), PCC and PRCC (pcc).morris).sb).sobol)sobol2002).sobolEff).sobol2007)fast99).testmodels) and template file generation
(template.replace).