Package: hubEvals 0.5.0

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:Anna Krystalli [aut, cre], Nicholas Reich [aut], Evan Ray [aut], Nikos Bosse [aut], Kimberlyn Roosa [aut], Zhian Kamvar [ctb], Li Shandross [ctb], Becky Sweger [ctb], Lucie Contamin [ctb], Consortium of Infectious Disease Modeling Hubs [cph]

hubEvals_0.5.0.tar.gz
hubEvals_0.5.0.zip(r-4.7-any)hubEvals_0.5.0.zip(r-4.6-any)hubEvals_0.5.0.zip(r-4.5-any)
hubEvals_0.5.0.tgz(r-4.6-any)hubEvals_0.5.0.tgz(r-4.5-any)
hubEvals_0.5.0.tar.gz(r-4.7-any)hubEvals_0.5.0.tar.gz(r-4.6-any)
hubEvals_0.5.0.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://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

On CRAN:

hubverse

6.84 score 6 stars 3 packages 18 scripts 346 downloads 5 exports 54 dependencies

Last updated from:2d981ec2e3 (on v0.5.0). Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	134
source / vignettes	OK	214
linux-release	OK	122
macos-release	OK	102
macos-oldrel	OK	103
windows-devel	OK	87
windows-release	OK	75
windows-oldrel	OK	74
wasm-release	OK	113

Exports:score_model_out transform_pmf_model_out transform_point_model_out transform_quantile_model_out transform_sample_model_out

Dependencies:askpass backports cachem checkmate cli cpp11 curl data.table dplyr evaluate farver fastmap fs generics ggplot2 gitcreds glue gtable highr httr2 hubUtils ini isoband jsonlite knitr labeling lifecycle magrittr MASS memoise openssl pillar pkgconfig purrr R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales scoringRules scoringutils stringi stringr sys tibble tidyselect utf8 vctrs viridisLite withr xfun yaml

Citation

Development and contributors

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