version bumps (#949)

Author: topepo

DESCRIPTION

@@ -1,6 +1,6 @@
 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"),

NEWS.md

@@ -1,4 +1,4 @@
-# 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.
 
@@ -16,6 +16,8 @@ This release of parsnip contains a number of new features and bug fixes, accompa
 
 * 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).
@@ -44,6 +46,7 @@ This release of parsnip contains a number of new features and bug fixes, accompa
 
 * 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).