Hi! 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 [[alternative HTML version deleted]] ______________________________________________ Remail@example.com mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.