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This textual content material provides R tutorials on statistics, collectively with hypothesis testing, ANOVA and linear regression. It fulfills widespread requires by users of r-tutor.com for exercise choices and offline entry.
Half III of the textual content material is about Bayesian statistics. It begins with closed analytic choices and first BUGS fashions for straightforward examples. Then it covers OpenBUGS for Bayesian ANOVA and regression analysis. Lastly, it reveals how one can assemble additional difficult Bayesian fashions and demonstrates CODA for Markov Chain Monte Carlo (MCMC) convergence.
The ultimate part of this textual content material discusses superior GPU computing in R using the RPUDPLUS package deal deal. Topics embrace hierarchical clustering, Kendall's tau, assist vector machines and Bayesian classification. It illustrates the importance of Extreme Effectivity Computing (HPC) in the best way ahead for statistics. The textual content material concludes with a model new half on hierarchical multinomial logit model for promoting evaluation.
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