Man pages for scoringRules
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... |
| gdp_mcmc | Data and forecasts for US GDP growth |
| 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... |
| 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... |
| rps_probs | Ranked Probability Score |
| run_casestudy | Run the case study in KLTG (2021), or a smaller version... |
| run_mcstudy | Run the Monte Carlo study by KLTG (2021), or a smaller... |
| scores | Generic Scoring Rule Calculation |
| 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... |
| 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 | Multivariate Scoring Rules for Simulated Forecast... |
| scores_sample_multiv_weighted | Weighted Multivariate Scoring Rules for Simulated Forecast... |
| scores_sample_univ | Scoring Rules for Simulated Forecast Distributions |
| scores_sample_univ_weighted | Weighted Scoring Rules for Simulated Forecast Distributions |
| scores_t | Calculating scores for Student's t-distribution |
| scores_unif | Calculating scores for the uniform distribution |
| summary.casestudy | Summary method for class casestudy |
| summary.mcstudy | Simple summary method for class mcstudy |
| Variablesupport | Supplementary distributions (not in base R) with variable... |
