Package: assessr 1.0.0
assessr: Performance metrics for probabilitic forecasts
This package implements various metrics for assessing the performance of probabilitic forecasts.
Authors:
assessr_1.0.0.tar.gz
assessr_1.0.0.zip(r-4.5)assessr_1.0.0.zip(r-4.4)assessr_1.0.0.zip(r-4.3)
assessr_1.0.0.tgz(r-4.4-any)assessr_1.0.0.tgz(r-4.3-any)
assessr_1.0.0.tar.gz(r-4.5-noble)assessr_1.0.0.tar.gz(r-4.4-noble)
assessr_1.0.0.tgz(r-4.4-emscripten)assessr_1.0.0.tgz(r-4.3-emscripten)
assessr.pdf |assessr.html✨
assessr/json (API)
# Install 'assessr' in R: |
install.packages('assessr', repos = c('https://mrc-ide.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mrc-ide/assessr/issues
Last updated 4 years agofrom:bcdf80172c (on master). Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 23 2024 |
R-4.5-win | OK | Aug 23 2024 |
R-4.5-linux | OK | Aug 23 2024 |
R-4.4-win | OK | Aug 23 2024 |
R-4.4-mac | OK | Aug 23 2024 |
R-4.3-win | OK | Aug 23 2024 |
R-4.3-mac | OK | Aug 23 2024 |
Exports:abs_madmavg_residualbiasmaeprop_in_cirel_madmrel_maerel_mean_dvtnrel_mse
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
MADM | abs_madm |
Average Residual | avg_residual |
Bias | bias |
Mean absolute error | mae |
Proportion of observations in given credible interval | prop_in_ci |
Relative sharpness | rel_madm |
Relative mean absolute error | rel_mae |
Relative sharpness | rel_mean_dvtn |
Average relative mean squared error | rel_mse |