# Scoring Rules for Parametric and Simulated Distribution Forecasts

## Documentation for package ‘scoringRules’ version 0.9.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

ar_ms | Bayesian analysis of a Markov Switching autoregressive model
crps | Scoring Rules for Parametric Forecast Distributions
crps_sample | Scoring Rules for Simulated Forecast Distributions
f2pexp | Supplementary distributions (not in base R) supported on the real line.
f2pnorm | Supplementary distributions (not in base R) supported on the real line.
fexp | Supplementary distributions (not in base R) with variable support.
fgev | Supplementary distributions (not in base R) with variable support.
fgpd | Supplementary distributions (not in base R) with variable support.
flapl | Supplementary distributions (not in base R) supported on the real line.
fllapl | Supplementary distributions (not in base R) supported on the positive real line.
fllogis | Supplementary distributions (not in base R) supported on the positive real line.
flogis | Supplementary distributions (not in base R) with variable support.
fmixnorm | Supplementary distributions (not in base R) supported on the real line.
fnorm | Supplementary distributions (not in base R) with variable support.
ft | Supplementary distributions (not in base R) with variable support.
gdp | Data and forecasts for US GDP growth
gdp_mcmc | Data and forecasts for US GDP growth
logs | Scoring Rules for Parametric Forecast Distributions
logs_sample | Scoring Rules for Simulated Forecast Distributions
plot.casestudy | Plot the output of run_casestudy
plot.mcstudy | Plot the output of run_mcstudy
run_casestudy | Run the case study in KLTG (2016), or a smaller version thereof
run_mcstudy | Run the Monte Carlo study by KLTG (2016), or a smaller version thereof