Package: bmetapred Title: Bayesian Meta-Prediction in the Presence of Prediction Error Version: 0.1.0 Authors@R: c( person("Jorge", "Piqueras Marqués", , "jorge.piqueras.m@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6812-2106")), person("Anabel", "Forte Deltell", , "anabel.forte@uv.es", role = "aut", comment = c(ORCID = "0000-0001-9534-1817")), person("Joaquin", "Martinez Minaya", , "jmarmin@eio.upv.es", role = "ctb", comment = c(ORCID = "0000-0002-1016-8734")) ) Description: 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) . 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) when pBMA is selected, or a tabu-guided heuristic search with parallel tempering when bayesian stacking is selected, all powered by 'brms' (Bürkner, 2017 ). License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 8.0.0 Imports: brms, future, future.apply, loo, stats, utils Config/pak/sysreqs: cmake make libicu-dev Repository: https://jorgepiquerasmarques.r-universe.dev Date/Publication: 2026-10-29 10:20:14 UTC RemoteUrl: https://github.com/jorgepiquerasmarques/bmetapred RemoteRef: HEAD RemoteSha: 05e6001147cedc3fcaccd679c20f986082c1cf6e NeedsCompilation: no Packaged: 2026-10-30 11:27:33 UTC; root Author: Jorge Piqueras Marqués [aut, cre] (ORCID: ), Anabel Forte Deltell [aut] (ORCID: ), Joaquin Martinez Minaya [ctb] (ORCID: ) Maintainer: Jorge Piqueras Marqués