Package: ErrorTracer Type: Package Title: Bayesian Error Propagation and Forecast Uncertainty Decomposition Version: 1.4.2 Date: 2026-10-29 Authors@R: c( person(given = "Luis Javier", family = "Madrigal-Roca", role = c("aut", "cre"), email = "madrigalrocalj@yahoo.com"), person(given = "John", family = "Kelly", role = "aut", email = "jkk@ku.edu") ) Description: Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, structured forecast uncertainty decomposition (parameter / environmental / residual, plus a temporal component when the model carries an autocorrelation term), and forecast shelf life analysis (the quantification of when a forecast becomes uninformative). Designed for ecological and genomic forecasting with climate or environmental covariates. Methods build on Bürkner (2017) for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) for elastic net regularization, Wright and Ziegler (2017) for random forests, and Vehtari, Gelman, and Gabry (2017) for leave-one-out cross-validation. License: MIT + file LICENSE Encoding: UTF-8 Depends: R (>= 4.1.0) Imports: brms (>= 2.20.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0), stats, utils Suggests: survival, loo (>= 2.6.0), bayesplot (>= 1.10.0), scales (>= 1.3.0), tidyr (>= 1.3.0), glmnet (>= 4.1.0), ranger (>= 0.15.0), dplyr (>= 1.1.0), testthat (>= 3.0.0), knitr, rmarkdown, covr Config/testthat/edition: 3 VignetteBuilder: knitr Config/roxygen2/version: 8.1.0 Config/pak/sysreqs: cmake make libicu-dev Repository: https://luismadrigal98.r-universe.dev Date/Publication: 2026-10-29 20:16:06 UTC RemoteUrl: https://github.com/luismadrigal98/errortracer RemoteRef: HEAD RemoteSha: 3cad00268b588c563cf28e64d9d4d3b6ba2db024 NeedsCompilation: no Packaged: 2026-10-29 22:05:03 UTC; root Author: Luis Javier Madrigal-Roca [aut, cre], John Kelly [aut] Maintainer: Luis Javier Madrigal-Roca