scoringRules1.1.3 package

Scoring Rules for Parametric and Simulated Distribution Forecasts

ar_ms

Bayesian analysis of a Markov Switching autoregressive model

crps.numeric

Continuous Ranked Probability Score for Parametric Forecast Distributi...

get_weight_func

Default Weight and Chaining Functions

logs.numeric

Logarithmic Score for Parametric Forecast Distributions

plot.casestudy

Plot the output of run_casestudy

plot.mcstudy

Plot the output of run_mcstudy

Posrealline

Supplementary distributions (not in base R) supported on the positive ...

print.casestudy

Simple print method for object of class casestudy

print.mcstudy

Simple print function for object of class mcstudy

Realline

Supplementary distributions (not in base R) supported on the real line...

rps_probs

Ranked Probability Score

run_casestudy

Run the case study in KLTG (2021), or a smaller version thereof

run_mcstudy

Run the Monte Carlo study by KLTG (2021), or a smaller version thereof

scores_2pexp

Calculating scores for the two-piece-exponential distribution

scores_2pnorm

Calculating scores for the two-piece-normal distribution

scores_beta

Calculating scores for the beta distribution

scores_binom

Calculating scores for the binomial distribution

scores_exp

Calculating scores for the exponential distribution

scores_gamma

Calculating scores for the gamma distribution

scores_gev

Calculating scores for the generalized extreme value distribution

scores_gpd

Calculating scores for the generalized Pareto distribution

scores_hyper

Calculating scores for the hypergeometric distribution

scores_lapl

Calculating scores for the Laplace distribution

scores_llapl

Calculating scores for the log-Laplace distribution

scores_llogis

Calculating scores for the log-logistic distribution

scores_lnorm

Calculating scores for the log-normal distribution

scores_logis

Calculating scores for the logistic distribution

scores_mixnorm

Calculating scores for a mixture of normal distributions.

scores_moments

Scoring Rules for a Vector of Moments

scores_nbinom

Calculating scores for the negative binomial distribution

scores_norm

Calculating scores for the normal distribution

scores_pois

Calculating scores for the Poisson distribution

scores_quantiles

Quantile and interval scores

scores_sample_multiv_weighted

Weighted Multivariate Scoring Rules for Simulated Forecast Distributio...

scores_sample_multiv

Multivariate Scoring Rules for Simulated Forecast Distributions

scores_sample_univ_weighted

Weighted Scoring Rules for Simulated Forecast Distributions

scores_sample_univ

Scoring Rules for Simulated Forecast Distributions

scores_t

Calculating scores for Student's tt-distribution

scores_unif

Calculating scores for the uniform distribution

scores

Generic Scoring Rule Calculation

summary.casestudy

Summary method for class casestudy

summary.mcstudy

Simple summary method for class mcstudy

Variablesupport

Supplementary distributions (not in base R) with variable support.

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>.