upmbuilder              Bayesian Markov Chain Monte Carlo model
                        building for household-community tuberculosis
                        transmission models
upmdata                 The dataset 'upmdata.Rdata' contains example
                        data from a theoretical tuberculosis household
                        contact study of 800 households contacts of an
                        infectious pulmonary TB case from 108
                        households. The first four variables are
                        numeric. The final predictor varialbe is
                        binary. Next is the data defining household:
                        cluster, and finally the measured outcome of a
                        Tuberculin Skin Test (TST/PPD) for each
                        contact, y. In these data, the true proportion
                        of contacts contracting TB from outside the
                        home is 15.5 percent. The true coeffient values
                        are, in order b0 = -1.5, b1 = 0.15, b2 = -2.25,
                        b3 = 0 (no effect), b4 = 0.2, b5 = -0.1.
upmfit                  upmfit: Bayesian MCMC sampling with the Unified
                        Probability Model
upmrun                  Bayesian Markov Chain Monte Carlo model
                        building for household-community tuberculosis
                        transmission models
