Package: hubEvals 0.3.0
Anna Krystalli
hubEvals: Tools for Scoring and Evaluating Hubverse Model Outputs
Provides tools for scoring and evaluating 'hubverse' model outputs against observed data, wrapping scoring workflows from the 'scoringutils' package and bridging hubverse model output formats to 'scoringutils' forecast classes.
Authors:
hubEvals_0.3.0.tar.gz
hubEvals_0.3.0.tar.gz(r-4.7-any)hubEvals_0.3.0.tar.gz(r-4.6-any)
hubEvals_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hubEvals/json (API)
| # Install 'hubEvals' in R: |
| install.packages('hubEvals', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hubverse-org/hubevals/issues
Pkgdown/docs site:https://hubverse-org.github.io
Last updated from:0eae3772ed. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 157 | ||
| source / vignettes | OK | 182 | ||
| linux-release-x86_64 | OK | 143 | ||
| wasm-release | OK | 164 |
Exports:score_model_outtransform_pmf_model_outtransform_point_model_outtransform_quantile_model_outtransform_sample_model_out
Dependencies:askpassbackportscachemcheckmateclicpp11curldata.tabledplyrevaluatefarverfastmapfsgenericsggplot2gitcredsgluegtablehighrhttr2hubUtilsiniisobandjsonliteknitrlabelinglifecyclemagrittrMASSmemoiseopensslpillarpkgconfigpurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangS7scalesscoringRulesscoringutilsstringistringrsystibbletidyselectutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Score model output predictions | score_model_out |
| Transform pmf model output into a forecast object | transform_pmf_model_out |
| Transform either mean or median model output into a point forecast object: | transform_point_model_out |
| Transform quantile model output into a forecast object | transform_quantile_model_out |
| Transform sample model output into a forecast object | transform_sample_model_out |
