Package: hubEvals 0.2.0

hubEvals: Basic tools for scoring hubverse forecasts
Using functionality from the scoringutils package, this software provides basic tools for scoring hubverse forecasts.
Authors:
hubEvals_0.2.0.tar.gz
hubEvals_0.2.0.zip(r-4.7)hubEvals_0.2.0.zip(r-4.6)hubEvals_0.2.0.zip(r-4.5)
hubEvals_0.2.0.tgz(r-4.6-any)hubEvals_0.2.0.tgz(r-4.5-any)
hubEvals_0.2.0.tar.gz(r-4.7-any)hubEvals_0.2.0.tar.gz(r-4.6-any)
hubEvals_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
hubEvals/json (API)
NEWS
| # Install 'hubEvals' in R: |
| install.packages('hubEvals', repos = c('https://hubverse-org.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:7bfe6dea40 (on v0.2.0). Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 133 | ||
| source / vignettes | OK | 171 | ||
| linux-release-x86_64 | OK | 134 | ||
| macos-release-arm64 | OK | 100 | ||
| macos-oldrel-arm64 | OK | 91 | ||
| windows-devel | OK | 75 | ||
| windows-release | OK | 89 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 142 |
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 |
