Package index
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accuracy()
- Get accuracy from quantiles
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accuracy_help()
- Calculate accuracy given a single quantile pair
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bias()
- Calculate forecast bias
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calc_specified_time()
- Calcuate relative/absolute time specified by user
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create_forecast()
- Create a forecast object
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create_forecast_ensemble()
- Create forecast from time vector and ensemble of realizations
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crps()
- Compute Continuous Ranked Probability Score for forecast
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denmark2020ens
- Denmark 2020 COVID-19 forecast ensemble
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denmark2020fc
- Denmark 2020 COVID-19 forecast data
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denmark2020obs
- Denmark 2020 COVID-19 observations
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filter_forecast_time()
- Isolate projected values from fit values
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get_quant_col()
- Get quantile column from data frame
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get_quant_percentages()
- Get quantile numbers from column names
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get_quantile()
- Obtain quantiles from data frame
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get_time_point()
- Get a row of a date frame for a given time
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get_time_type()
- Get type of data frame time column
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integer_breaks()
- Integer breaks on ggplot2 axes
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is_forecast()
- Is it a forecast?
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is_valid_forecast()
- Is it a valid forecast?
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join_fcst_obs()
- Join a forecast and observations into a single data frame
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log_score()
- Compute logarithmic score for forecast
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make_accuracy()
accuracy()
function factory
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make_log_score()
log_score()
function factory
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pair_quantiles()
- Pair up matching quantiles
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parse_quant_pairs()
- Pairs quantile pair(s)
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plot_KDE()
- Plot the KDE used in
log_score()
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plot_ensemble()
- Plot ensemble of forecast realizations
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plot_forecast()
- Plot a forecast
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plot_mean()
- Plot forecast mean
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plot_obs_score()
- Plot and score against observations
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plot_observations()
- Plot observations
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plot_quant_intervals()
- Plot quantile intervals
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plot_quantiles()
- Plot forecast quantiles
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quant_name()
- Turn quantile number into column name
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score()
- Score forecasts
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validate_column()
- Check that column is in data frame
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validate_data_frame()
- Validate forecast data frame
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validate_fcst_obs_pair()
- Validate a forecast-observations pair
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validate_forecast()
- Validate forecast in named-list format
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validate_obs()
- Validate observations data frame
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validate_quant()
- Validate a single quantile
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validate_quant_name()
- Validate quantile column name
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validate_quant_order()
- Make sure quantile values are logically possible
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validate_quant_pair()
- Validate quantile interval vector
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validate_time()
- Check that time compatible with forecast
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validate_time_column()
- Validate time column