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Apr 12, 2023
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RC 1.1.0 #949

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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: parsnip
Title: A Common API to Modeling and Analysis Functions
Version: 1.0.4.9006
Version: 1.1.0
Authors@R: c(
person("Max", "Kuhn", , "max@posit.co", role = c("aut", "cre")),
person("Davis", "Vaughan", , "davis@posit.co", role = "aut"),
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5 changes: 4 additions & 1 deletion NEWS.md
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# parsnip (development version)
# parsnip 1.1.0

This release of parsnip contains a number of new features and bug fixes, accompanied by several optimizations that substantially decrease the time to `fit()` and `predict()` with the package.

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* Added several internal functions (to help work with `Surv` objects) as a standalone file that can be used in other packages via `usethis::use_standalone("tidymodels/parsnip")`. These changes provide tooling for downstream packages to handle inverse probability censoring weights (#893, #897, #937).

* An internal method for generating inverse probability of censoring weights (IPCW) of Graf _et al_ (1999) is available via `.censoring_weights_graf()`.

## Bug fixes

* Made `fit()` behave consistently with respect to missingness in the classification setting. Previously, `fit()` erroneously raised an error about the class of the outcome when there were no complete cases, and now always passes along complete cases to be handled by the modeling function (#888).
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* Various bug fixes and improvements to documentation.


# parsnip 1.0.4

* For censored regression models, a "reverse Kaplan-Meier" curve is computed for the censoring distribution. This can be used when evaluating this type of model (#855).
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