estimating STAR models based on Markov chain Monte Carlo (MCMC) simulation techniques, a mixed model representation of STAR … models, or stepwise regression techniques combining penalized least squares estimation with model selection. BayesX not only …, or continuous time multi-state models. This paper presents a new fully interactive R interface to BayesX: the R package R …

that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the … classification and regression trees in R. Computationally intensive tasks are fully computed in C++ while the partykit (Hothorn and … Zeileis 2011) package is leveraged for representing the resulting trees in R, providing unified infrastructure for summaries …

The R package partykit provides a flexible toolkit for learning, representing, summarizing, and visualizing a wide …

The R package partykit provides a flexible toolkit for learning, representing, summarizing, and visualizing a wide …

such as simulation-based Bayesian inference. -- STAR models ; MCMC ; REML ; stepwise ; R … estimating STAR models based on Markov chain Monte Carlo (MCMC) simulation techniques, a mixed model representation of STAR … models, or stepwise regression techniques combining penalized least squares estimation with model selection. BayesX not only …

the deceased rate at -0.12 with an R2 (coefficient of determination) of 1.3% compared to correlation coefficients of –0 ….06 and +0.02 and R2 of 0.28% and 0.03% respectively for the 14-day and 5-day cumulative positivity rates.The 21-day rate is …