# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ErrorTracer" in publications use:' type: software license: MIT title: 'ErrorTracer: Bayesian Error Propagation and Forecast Uncertainty Decomposition' version: 1.1.0 doi: 10.32614/CRAN.package.ErrorTracer abstract: 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. authors: - family-names: Madrigal-Roca given-names: Luis Javier email: madrigalrocalj@yahoo.com - family-names: Kelly given-names: John email: jkk@ku.edu repository: https://luismadrigal98.r-universe.dev commit: a41710d5fb7e1f001e5d983dcbd9cb48eca6617d date-released: '2026-05-23' contact: - family-names: Madrigal-Roca given-names: Luis Javier email: madrigalrocalj@yahoo.com