https://jorgepiquerasmarques.r-universe.devRecent package updates in jorgepiquerasmarquesR-universehttps://github.com/jorgepiquerasmarques.pnghttps://jorgepiquerasmarques.r-universe.devThu, 29 Oct 2026 10:20:14 GMTjorge.piqueras.m@gmail.com (Jorge Piqueras Marqués)Fits pseudo-Bayesian Model Averaging (pBMA) and Bayesian Stacking ensembles of linear meta-models while explicitly accounting for the prediction errors of the individual models, building on the Bayesian Stacking of predictive distributions framework of Yao et al. (2018) <doi:10.1214/17-BA1091>. When native uncertainty estimates are unavailable, it provides tools to estimate heteroscedastic errors via Local Polynomial Regression (LOESS). The meta-model space is explored using exhaustive search, a Markov Chain Monte Carlo Model Composition (MC3) algorithm following Madigan and Raftery (1994) <doi:10.1080/01621459.1994.10476894> when pBMA is selected, or a tabu-guided heuristic search with parallel tempering when bayesian stacking is selected, all powered by 'brms' (Bürkner, 2017 <doi:10.18637/jss.v080.i01>).https://github.com/r-universe/jorgepiquerasmarques/actions/runs/41047863150Thu, 29 Oct 2026 10:20:14 GMTbmetapred0.1.0successhttps://jorgepiquerasmarques.r-universe.devhttps://github.com/jorgepiquerasmarques/bmetapred