Package: ErrorTracer
Type: Package
Title: Bayesian Error Propagation and Forecast Uncertainty
        Decomposition
Version: 1.1.0
Date: 2026-05-23
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)
    <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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: brms (>= 2.20.0), ggplot2 (>= 3.4.0), rlang (>= 1.1.0), stats,
        utils
Suggests: 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: 8.0.0
NeedsCompilation: no
Packaged: 2026-05-25 12:51:48 UTC; madrigalrocalj
Author: Luis Javier Madrigal-Roca [aut, cre],
  John Kelly [aut]
Maintainer: Luis Javier Madrigal-Roca <madrigalrocalj@yahoo.com>
Repository: CRAN
Date/Publication: 2026-05-25 13:00:02 UTC
