This user guide documents the basics of how to use the code provided for implementing the Bayesian wavelet-based functional mixed models methodology introduced in Morris and Carroll (2006). The code implements the Markov Chain Monte Carlo (MCMC) procedure described in Section 5 of the paper and outputs posterior samples for many model quantities. Sample program call (from DOS window): wfmm input.mat output.mat> log_file.log The wfmm executable takes two arguments: an input filename or full filepath (represented above by input.mat)and and output filename (output.mat). Log information is written to standard out, which can be redirected to a log file. Input The input file (“input.mat ” in the call) is in Matlab file format and can specify the raw data matrix Y and structures model, wavespecs, MCMCspecs, and PostProcessSpecs that specify the model and parameters controlling the processing. Array dimensions of input and output variables are determined by the following parameters: N- Number of data curves (rows in Y)
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