Bayesian Meta-Analysis via ‘Stan’ (MetaStan)
Performs Bayesian meta-analysis using ‘Stan’. Includes binomial-normal hierarchical models and option to use weakly informative priors for the heteroge …

Machine Learning with AdaBoost on Decision Stumps (sboost)
Creates classifier for binary outcomes using Freund and Schapire’s Adaptive Boosting (AdaBoost) algorithm on decision stumps with a fast C++ implementa …

Robust M-Estimators Based on Transformations for Poisson Model (poissonMT)
R functions for the computation of Least Square based on transformation (L2T) and robust M-estimators based on transformations (MT-estimators) for Pois …

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