ErrorTracer
Bayesian Error Propagation and Forecast Uncertainty Decomposition
Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, three-way forecast uncertainty decomposition (parameter / environmental / residual), 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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling linux/jammy R-4.5 | ErrorTracer_1.0.2.tar.gz |
230.1 KiB |
1.0.2 |
rolling linux/noble R-4.5 | ErrorTracer_1.0.2.tar.gz |
230.2 KiB |
1.0.2 |
rolling source/ R- | ErrorTracer_1.0.2.tar.gz |
116.8 KiB |
1.0.2 |
latest linux/jammy R-4.5 | ErrorTracer_1.0.2.tar.gz |
230.1 KiB |
1.0.2 |
latest linux/noble R-4.5 | ErrorTracer_1.0.2.tar.gz |
230.2 KiB |
1.0.2 |
latest source/ R- | ErrorTracer_1.0.2.tar.gz |
116.8 KiB |
1.0.2 |
2026-04-23 source/ R- | ErrorTracer_1.0.2.tar.gz |
0 B |