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scoringRules  

Scoring Rules for Parametric and Simulated Distribution Forecasts
View on CRAN: Click here


Download and install scoringRules package within the R console
Install from CRAN:
install.packages("scoringRules")

Install from Github:
library("remotes")
install_github("cran/scoringRules")

Install by package version:
library("remotes")
install_version("scoringRules", "1.1.3")



Attach the package and use:
library("scoringRules")
Maintained by
Fabian Krueger
[Scholar Profile | Author Map]
First Published: 2016-07-06
Latest Update: 2023-05-10
Description:
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.
How to cite:
Fabian Krueger (2016). scoringRules: Scoring Rules for Parametric and Simulated Distribution Forecasts. R package version 1.1.3, https://cran.r-project.org/web/packages/scoringRules. Accessed 07 Apr. 2025.
Previous versions and publish date:
0.9.1 (2016-09-06 12:25), 0.9.2 (2017-01-11 17:13), 0.9.3 (2017-08-10 17:44), 0.9.4 (2017-11-03 20:39), 0.9.5 (2018-07-30 22:50), 0.9.6 (2019-05-27 23:30), 0.9 (2016-07-06 01:16), 1.0.0 (2019-08-21 00:10), 1.0.1 (2020-10-05 12:10), 1.0.2 (2022-09-19 13:16), 1.1.1 (2023-05-10 22:50), 1.1.2 (2024-09-05 10:00)
Other packages that cited scoringRules R package
View scoringRules citation profile
Other R packages that scoringRules depends, imports, suggests or enhances
Complete documentation for scoringRules
Functions, R codes and Examples using the scoringRules R package
Some associated functions: Posrealline . Realline . Variablesupport . ar_ms . crps.numeric . gdp_mcmc . logs.numeric . plot.casestudy . plot.mcstudy . print.casestudy . print.mcstudy . run_casestudy . run_mcstudy . scores . scores_2pexp . scores_2pnorm . scores_beta . scores_binom . scores_exp . scores_gamma . scores_gev . scores_gpd . scores_hyper . scores_lapl . scores_llapl . scores_llogis . scores_lnorm . scores_logis . scores_mixnorm . scores_moments . scores_nbinom . scores_norm . scores_pois . scores_sample_multiv . scores_sample_multiv_weighted . scores_sample_univ . scores_sample_univ_weighted . scores_t . scores_unif . summary.casestudy . summary.mcstudy . 
Some associated R codes: RcppExports.R . crps.numeric.R . crps_int.R . distributionFunctions.R . header.R . header_replication.R . helper_Hessian.R . helper_checks.R . logs.numeric.R . procs_casestudy.R . procs_mc.R . scores.R . scores_2pexp.R . scores_2pnorm.R . scores_beta.R . scores_binom.R . scores_exp.R . scores_gamma.R . scores_gev.R . scores_gpd.R . scores_hyper.R . scores_lapl.R . scores_llapl.R . scores_llogis.R . scores_lnorm.R . scores_logis.R . scores_mixnorm.R . scores_moments.R . scores_nbinom.R . scores_norm.R . scores_pois.R . scores_sample_multiv.R . scores_sample_multiv_weighted.R . scores_sample_univ.R . scores_sample_univ_weighted.R . scores_t.R . scores_unif.R .  Full scoringRules package functions and examples
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