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Collection of re-usable ControlTier modules and solution libraries providing build and deployment automation components for many individual technologies as well as integrated multi-tiered application platforms
OverviewThis project is to build a R package for fitting Tweedie compound Poisson linear models using the Monte Carlo EM algorithm. The forms of the models that are handled in the package are generalized linear models, mixed-effect models and Bayesian models. For non-Bayesian models, maximum likelihood estimations are obtained for all parameters in the model, especially for the index parameter. Estimation for the Bayesian model is performed by Markov Chain Monte Carlo simulations. DocumentationH