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doc: version bump + news
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DESCRIPTION

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Package: epipredict
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Title: Basic epidemiology forecasting methods
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Version: 0.1.13
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Version: 0.1.14
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Authors@R: c(
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person("Daniel J.", "McDonald", , "[email protected]", role = c("aut", "cre")),
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person("Ryan", "Tibshirani", , "[email protected]", role = "aut"),

NEWS.md

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`data(<dataset name>, package = "epidatasets")`, `epidatasets::<dataset name>`
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or, after loading the package, the name of the dataset alone (#382).
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- `step_adjust_latency()` no longer allows empty column selection.
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- Addresses upstream breaking changes from cmu-delphi/epiprocess#595 (`growth_rate()`).
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- Addresses upstream breaking changes from cmu-delphi/epiprocess#595 (`growth_rate()`).
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`step_growth_rate()` has lost its `additional_gr_args_list` argument and now
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has an `na_rm` argument.
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- Moves `epiprocess` out of depends (#440). No internals have changed, but downstream
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users may need to add `library(epiprocess)` to existing code.
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- Removes dependence on the `distributional` package, replacing the quantiles
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- Removes dependence on the `distributional` package, replacing the quantiles
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with `hardhat::quantile_pred()`. Some associated functions are deprecated with
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`lifecycle` messages.
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- Add `climatological_forecaster()` to automatically create climate baselines
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- Replace `dist_quantiles()` with `hardhat::quantile_pred()`
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- Allow `quantile()` to threshold to an interval if desired (#434)
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- Add `step_epi_YeoJohnson()` to perform a Yeo-Johnson transformation on the outcome variable.
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- Add `layer_epi_YeoJohnson()` to undo a Yeo-Johnson transformation on the outcome variable in a forecast workflow.
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## Bug fixes
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