I am trying to implement the Morris One at a Time (OAT) sensitivity
analysis technique in R using the package 'sensitivity'.  The OAT and
similar other techniques in the package requires data frame X (which stores
the design or parameter combinations) to be populated by some function in
the package such as fast99 or morris. These functions take only the range
and step size of the parameters as arguments. However, in my experiment
there are few forbidden configurations. Is there a way to specify this in
the analysis set up? To be specific, is there a way to tell the model that
certain combinations are forbidden such as feeding forbidden configurations
via a text file or specifying a conditional expression which will exclude
the forbidden configurations (eg: parameter 1 < parameter 2) ?

Thanks and regards,
Reshma CC

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