| bma_ens_models | Fit BMA coefficients for beta distributions with discrete... |
| Brier | Get Brier score at power thresholds |
| Brier_quantile | Get Brier score at a certain probability of exceedance |
| calc_forecasts | Calculate a time series list of power forecasts. |
| calc_PIT_histogram | Calculate data for probability integral transform histogram |
| calc_quantiles | Register generic quantiles function |
| calc_quantiles.fc_binned | Calculate forecast quantiles |
| calc_quantiles.fc_bma | Calculate forecast quantiles |
| calc_quantiles.fc_emos | Calculate forecast quantiles |
| calc_quantiles.fc_empirical | Calculate forecast quantiles |
| calc_quantiles.fc_kde | Calculate forecast quantiles from KDE |
| calc_quantiles.fc_vine | Calculate forecast quantiles from samples of the vine copula |
| calc_transforms | Calculate lists of variable-to-uniform domain transforms for... |
| cdf_subfunction | Get cumulative distribution for individual ensemble member |
| check_sunup | Check GHI/power matrix for any positive numbers |
| CRPS | Estimate CRPS |
| CRPS_avg | Get the average CRPS |
| CVAR | Register generic VaR/CVaR function |
| CVAR.fc_kde | Calculate VaR and CVaR by trapezoidal integration. |
| CVAR.fc_vine | Calculate VaR and CVaR from sampled data. CVaR calculation is... |
| dbeta_gamma_rho | Get density of beta distribution with gamma, rho... |
| delle_monache_distance | Calculate Delle Monache distance metric for the physical... |
| emos_model | Fit EMOS coefficients a, b_k, c, d for truncated normal b_k,... |
| equalize_telemetry_forecast_length | Equalize lengths of telemetry and forecast vectors |
| error_check_calc_quantiles_input | Error check quantiles are in (0,1) |
| eval_mer | Get Missing Rate Error. Indicates underdispersive (+) or... |
| fc_binned | A binned probability forecast |
| fc_bma | A BMA forecast |
| fc_emos | An EMOS forecast |
| fc_empirical | A forecast from an empirical CDF |
| fc_kde | Initialize a univariate probabilistic power forecast for a... |
| fc_vine | Initialize a probabilistic power forecast for a specific time... |
| feature_distance | Calculate the distance metric for one physical feature for a... |
| from_uniform | Inverse transform from uniform to variable domain |
| get_1d_samples | Register generic sample function |
| get_1d_samples.fc_vine | Sample the vine copula model and sum to calculate samples of... |
| get_beta_distribution_geometry_code | 0 -> Missing 1 -> U-type 2 -> Reverse J-type 3 -> J-type 4 ->... |
| get_discrete_continuous_model | Get the discrete and continuous components of the weighted... |
| get_forecast_class | Look-up function of the forecast class type |
| get_gamma | Get gamma parameter of beta distribution for single instance |
| get_historical_analogs | Assumes that the forecast data and historical analogs are at... |
| get_joint_density_grid | Register generic joint density function |
| get_joint_density_grid.fc_vine | Estimate the joint probability density |
| get_lm | Get the linear model for a single ensemble member's 'b'... |
| get_lr | Do logistic regression to get a single ensemble member's 'a'... |
| get_metric_time_series | Get a time-series of the forecast performance in terms of one... |
| get_ndays | Calculate number of days in the sequence |
| get_netcdf_forecast_data | Load data from a NETCDF file of ensemble forecasts Assumed... |
| get_netcdf_telemetry_data | Load data from a NETCDF file of telemetry Assumed file... |
| get_poc | Get PoC (probability of clipping) for single instance PoC is... |
| get_quantile_reliability | Evaluate forecast reliability by evaluating the actual hit... |
| get_quantile_time_series | Get a time-series of the forecast value at a particular... |
| get_rho | Get rho parameter of beta distribution for single instance |
| get_shape_params | Get shape parameters for either a beta or a truncated normal... |
| get_sigma | Get sigma parameter of distribution for single instance |
| get_start_day | Calculate start day's index since the beginning of data... |
| get_sundown_and_NaN_stats | Get sun-up, sun-down, and missing data statistics |
| get_transform_with_unique_xmin_max | Subfunction for calc_transforms to cycle thorugh xmin and... |
| get_variable_domain_grid | Get a grid of evaluation points in the variable domain, based... |
| get_weighted_probability | Get z=weighted probability for single instance Returns NA for... |
| IS | Calculate interval score |
| IS_avg | Calculate average interval score |
| is.fc_binned | Check class is fc_binned |
| is.fc_bma | Check class |
| is.fc_emos | Check class |
| is.fc_empirical | Check class |
| is.fc_kde | Check class |
| is.fc_vine | Check class |
| is.marg_transform | Check marginal transform class |
| is.prob_forecast | Check probabilistic forecast class |
| length.prob_forecast | Calculate number of sites in this spatial aggregate |
| length.ts_forecast | Calculate number of steps in time series forecast |
| MAE | Get mean absolute error between the forecast median and the... |
| marginal_lookup | Look-up function for the methods implemented here |
| marg_transform | A structure for transforming back and forth to uniform domain |
| pdf_subfunction | Get probability density for individual ensemble member... |
| plot_brier_by_power | Plot Brier score in terms of power |
| plot_brier_by_quantile | Plot Brier score along the quantiles from 1 to 99 |
| plot_crps | Plot probabilistic forecast's CRPS illustration |
| plot_cvar_over_time | Plot a time-series of the upper and lower tail CVAR's |
| plot_interval_width | Plot average interval width at different nominal intervals |
| plot.marg_transform | Plot a marginal transform |
| plot_pdf | Register generic plot function |
| plot_pdf.fc_binned | Not implemented |
| plot_pdf.fc_bma | Plot APPROXIMATION of the BMA probability density function,... |
| plot_pdf.fc_emos | Plot EMOS forecast |
| plot_pdf.fc_empirical | Not implemented |
| plot_pdf.fc_kde | Plot probability density |
| plot_pdf.fc_vine | Plot probabilistic forecast's estimated pdf (with kde) Note... |
| plot_pdf.marg_transform | Plot a marg_transform PDF |
| plot_PIT_histogram | Plot probability integral transform histogram |
| plot.prob_forecast | Plot probabilistic forecast's quantiles |
| plot_quantile_score | Plot quantile score vs. quantiles |
| plot_reliability | Plot reliability |
| plot.ts_forecast | Plot fan plot of the time-series probabilistic forecast |
| PRI | Get the percentile reliability index (PRI) of quantiles 1 to... |
| probempirical | Get probability using empirical CDF, with a default minimum x... |
| probkde | Get continuous KDE using KernSmooth based on... |
| probkde1d | Get KDE using kde1d |
| probprecalc | Reformat from an existing prob_1d_bma_forecast object |
| probtranskde | Get KDE using Geenens et. al 2014 and 2018's methods: 1)... |
| qc_bma_input | Specific quality control handling for BMA forecasts, for... |
| qc_input | Quality control 1-dimension input data |
| QS | Get weighted quantile score at certain quantile(s) |
| qwCRPS | Get the quantile-weighted CRPS |
| RI | Get the reliability index (RI) as per Delle Monache 2006 |
| scale_01 | Scale from [0, xmax] to (0,1). Values exactly at 0 are... |
| scale_full | Scale from (0,1) to [0, xmax]. The slight offset at 0 is not... |
| sharpness | Calculate sharpness for an interval from alpha/2 to... |
| sharpness_avg | Average interval width |
| tnorm_crps_obj | Subfunction to get average crps over the training period |
| to_probability | Transform from variable to probability density |
| to_uniform | Transform from variable to uniform domain |
| transform_to_real_line | Transform values from bounded to unbounded support through... |
| ts_forecast | Register ts_forecast constructor to allow for overloading |
| ts_forecast.array | Calculate a timeseries forecast from an array |
| ts_forecast.list | Calculate a timeseries forecast from a list |
| ts_forecast.matrix | Calculate a timeseries forecast from a matrix |
| weight_QS | Calculate a vector of weighted quantile scores |
| write.ts_forecast | Write ts_forecast quantiles to .csv |
