Package: scoringRules 1.1.3
scoringRules: Scoring Rules for Parametric and Simulated Distribution Forecasts
Dictionary-like reference for computing scoring rules in a wide range of situations. Covers both parametric forecast distributions (such as mixtures of Gaussians) and distributions generated via simulation. Further details can be found in the package vignettes <doi:10.18637/jss.v090.i12>, <doi:10.18637/jss.v110.i08>.
Authors:
scoringRules_1.1.3.tar.gz
scoringRules_1.1.3.zip(r-4.5)scoringRules_1.1.3.zip(r-4.4)scoringRules_1.1.3.zip(r-4.3)
scoringRules_1.1.3.tgz(r-4.4-x86_64)scoringRules_1.1.3.tgz(r-4.4-arm64)scoringRules_1.1.3.tgz(r-4.3-x86_64)scoringRules_1.1.3.tgz(r-4.3-arm64)
scoringRules_1.1.3.tar.gz(r-4.5-noble)scoringRules_1.1.3.tar.gz(r-4.4-noble)
scoringRules_1.1.3.tgz(r-4.4-emscripten)scoringRules_1.1.3.tgz(r-4.3-emscripten)
scoringRules.pdf |scoringRules.html✨
scoringRules/json (API)
# Install 'scoringRules' in R: |
install.packages('scoringRules', repos = c('https://fk83.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fk83/scoringrules/issues
Last updated 1 months agofrom:6a246753c5. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 12 2024 |
R-4.5-win-x86_64 | OK | Oct 12 2024 |
R-4.5-linux-x86_64 | OK | Oct 12 2024 |
R-4.4-win-x86_64 | OK | Oct 12 2024 |
R-4.4-mac-x86_64 | OK | Oct 12 2024 |
R-4.4-mac-aarch64 | OK | Oct 12 2024 |
R-4.3-win-x86_64 | OK | Oct 12 2024 |
R-4.3-mac-x86_64 | OK | Oct 12 2024 |
R-4.3-mac-aarch64 | OK | Oct 12 2024 |
Exports:ar_msclogs_samplecrpscrps_2pexpcrps_2pnormcrps_betacrps_binomcrps_clogiscrps_cnormcrps_ctcrps_expcrps_expMcrps_gammacrps_gevcrps_gpdcrps_gtclogiscrps_gtcnormcrps_gtctcrps_hypercrps_laplcrps_llaplcrps_llogiscrps_lnormcrps_logiscrps_mixnormcrps_mixnorm_intcrps_nbinomcrps_normcrps_poiscrps_samplecrps_tcrps_tlogiscrps_tnormcrps_ttcrps_unifcrps.numericdss_betadss_expdss_gammadss_gevdss_gpddss_lapldss_llapldss_llogisdss_lnormdss_logisdss_mixnormdss_momentsdss_nbinomdss_normdss_poisdss_sampledss_tdss_unifes_sampleess_momentsf2pexpf2pnormfexpfgevfgpdflaplfllaplfllogisflogisfmixnormfnormftget_weight_funcgradcrps_clogisgradcrps_cnormgradcrps_ctgradcrps_logisgradcrps_normgradcrps_tgradcrps_tlogisgradcrps_tnormgradcrps_tthesscrps_clogishesscrps_cnormhesscrps_cthesscrps_logishesscrps_normhesscrps_thesscrps_tlogishesscrps_tnormhesscrps_ttints_quantilesints_samplelogslogs_2pexplogs_2pnormlogs_betalogs_binomlogs_explogs_exp2logs_gammalogs_gevlogs_gpdlogs_hyperlogs_lapllogs_llapllogs_llogislogs_lnormlogs_logislogs_mixnormlogs_nbinomlogs_normlogs_poislogs_samplelogs_tlogs_tlogislogs_tnormlogs_ttlogs_uniflogs.numericmmds_sampleowcrps_sampleowes_sampleowmmds_sampleowvs_sampleqs_quantilesqs_samplerps_probsrun_casestudyrun_mcstudytwcrps_sampletwes_sampletwmmds_sampletwvs_samplevs_sample
Dependencies:evaluatehighrknitrMASSRcppRcppArmadilloxfunyaml
Evaluating Probabilistic Forecasts with scoringRules
Rendered fromarticle.Rnw
usingknitr::knitr
on Oct 12 2024.Last update: 2023-10-15
Started: 2017-10-20
R package scoringRules: Getting started
Rendered fromgettingstarted.Rmd
usingknitr::rmarkdown
on Oct 12 2024.Last update: 2022-09-13
Started: 2016-06-24
Weighted scoringRules
Rendered fromarticle_weighted_scores.Rnw
usingknitr::knitr
on Oct 12 2024.Last update: 2024-08-26
Started: 2023-01-25