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epipredict 0.1
- add
check_enough_train_data that will error if training data is too small
- added
check_enough_train_data to arx_forecaster
- simplify
layer_residual_quantiles() to avoid timesuck in utils::methods()
- rename the
dist_quantiles() to be more descriptive, breaking change
- removes previous
pivot_quantiles() (now *_wider(), breaking change)
- add
pivot_quantiles_wider() for easier plotting
- add complement
pivot_quantiles_longer()
- add
cdc_baseline_forecaster() and flusight_hub_formatter()
- add
smooth_quantile_reg()
- improved printing of various methods / internals
- canned forecasters get a class
- fixed quantile bug in
flatline_forecaster()
- add functionality to output the unfit workflow from the canned forecasters
- add quantile_reg()
- clean up documentation bugs
- add smooth_quantile_reg()
- add classifier
- training window step debugged
-
min_train_window argument removed from canned forecasters
- add forecasters
- implement postprocessing
- vignettes avaliable
- arx_forecaster
- pkgdown
- Publish public for easy navigation
- Two simple forecasters as test beds
- Working vignette
- use
checkmate for input validation
- refactor quantile extrapolation (possibly creates different results)
- force
target_date + forecast_date handling to match the time_type of the epi_df. allows for annual and weekly data