Unified Probability Model Fitting


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Documentation for package ‘upmfit’ version 0.1.0

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upmfit-package upmfit: Bayesian MCMC sampling with the Unified Probability Model
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