https://luismadrigal98.r-universe.devRecent package updates in luismadrigal98R-universehttps://github.com/luismadrigal98.pnghttps://luismadrigal98.r-universe.devSat, 27 Jun 2026 21:51:55 GMTmadrigalrocalj@yahoo.com (Luis Javier Madrigal-Roca)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) <doi:10.18637/jss.v080.i01> for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for elastic net regularization, Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01> for random forests, and Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4> for leave-one-out cross-validation.https://github.com/r-universe/luismadrigal98/actions/runs/28303862103Sat, 27 Jun 2026 21:51:55 GMTErrorTracer1.1.0successhttps://luismadrigal98.r-universe.devhttps://github.com/luismadrigal98/errortracerworked_example.Rmdworked_example.htmlA one-predictor worked example2026-05-23 16:43:262026-05-23 16:43:26introduction.Rmdintroduction.htmlGetting Started with ErrorTracer2026-04-13 18:53:372026-05-16 20:47:49