Package: scoringfunctions 1.1
scoringfunctions: A Collection of Loss Functions for Assessing Point Forecasts
Implements multiple consistent scoring functions (Gneiting T (2011) <doi:10.1198/jasa.2011.r10138>) for assessing point forecasts and point predictions. Detailed documentation of scoring functions' properties is included for facilitating interpretation of results.
Authors:
scoringfunctions_1.1.tar.gz
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scoringfunctions_1.1.tgz(r-4.5-any)scoringfunctions_1.1.tgz(r-4.4-any)scoringfunctions_1.1.tgz(r-4.3-any)
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scoringfunctions.pdf |scoringfunctions.html✨
scoringfunctions/json (API)
# Install 'scoringfunctions' in R: |
install.packages('scoringfunctions', repos = c('https://hristostyr.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 30 days agofrom:c64ca440bc. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Apr 02 2025 |
R-4.5-win | OK | Apr 02 2025 |
R-4.5-mac | OK | Apr 02 2025 |
R-4.5-linux | OK | Apr 02 2025 |
R-4.4-win | OK | Apr 02 2025 |
R-4.4-mac | OK | Apr 02 2025 |
R-4.4-linux | OK | Apr 02 2025 |
R-4.3-win | OK | Apr 02 2025 |
R-4.3-mac | OK | Apr 02 2025 |
Exports:aerr_sfaperr_sfbmedian_sfbregman1_sfbregman2_sfbregman3_sfbregman4_sfcapping_functionerrorspread_sfexpectile_ifexpectile_rsexpectile_sfghuber_sfgpl1_sfgpl2_sfhuber_rshuber_sfhubermean_ifhuberquantile_ifinterval_sflinex_sflqmean_sflqquantile_sfmaemaelog_sfmaesd_sfmapemean_ifmeanlog_ifmremsemspemsremv_ifmv_sfnmoment_ifnmoment_sfnseobsweighted_sfquantile_ifquantile_levelquantile_rsquantile_sfrelerr_sfserr_sfserrexp_sfserrlog_sfserrpower_sfserrsq_sfsperr_sfsrelerr_sf
Dependencies: