Bayesian Error Propagation and Forecast Uncertainty Decomposition

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Documentation for package ‘ErrorTracer’ version 1.0.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

decompose_uncertainty	Extract or recompute uncertainty decomposition
et_calibrate	Assess calibration of posterior predictive intervals
et_diagnose	Diagnose a fitted ErrorTracer model
et_fit	Fit a Bayesian regression model with informed priors
et_plot_calibration	Plot calibration: observed vs nominal coverage
et_plot_coefficients	Forest plot of regression coefficients
et_plot_decomposition	Plot three-way uncertainty decomposition
et_plot_forecast	Plot posterior predictive fan chart
et_plot_prior_posterior	Plot prior vs posterior distributions for model coefficients
et_plot_sensitivity	Plot a sensitivity profile
et_plot_shelf_life	Plot forecast shelf life
et_predict	Posterior prediction with uncertainty decomposition
et_sensitivity_profile	Sensitivity profile of the environmental uncertainty component
et_sim	Simulated allele-frequency-change dataset for ErrorTracer tutorials
et_theme	Minimal ggplot2 theme for ErrorTracer plots
extract_priors	Extract brms prior specification from a regularized or standard regression model
extract_priors.cv.glmnet	Extract brms prior specification from a regularized or standard regression model
extract_priors.glm	Extract brms prior specification from a regularized or standard regression model
extract_priors.glmnet	Extract brms prior specification from a regularized or standard regression model
extract_priors.lm	Extract brms prior specification from a regularized or standard regression model
extract_priors.ranger	Extract brms prior specification from a regularized or standard regression model
shelf_life	Compute the forecast shelf life
standardize	Standardize a numeric vector (mean-centre, unit-variance)
unstandardize	Reverse standardization