doc: bump version

Author: dshemetov

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: epipredict
 Title: Basic epidemiology forecasting methods
-Version: 0.0.8
+Version: 0.0.9
 Authors@R: c(
     person("Daniel", "McDonald", , "[email protected]", role = c("aut", "cre")),
     person("Ryan", "Tibshirani", , "[email protected]", role = "aut"),

NEWS.md

@@ -1,49 +1,32 @@
 # epipredict (development)
 
-# epipredict 0.0.8
+# 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`
-
-# epipredict 0.0.7
-
 -   simplify `layer_residual_quantiles()` to avoid timesuck in `utils::methods()`
-
-# epipredict 0.0.6
-
 -   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()`
-
-# epipredict 0.0.5
-
 -   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
-
-# epipredict 0.0.4
-
 -   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
-
-# epipredict 0.0.3
-
 -   add forecasters
 -   implement postprocessing
 -   vignettes avaliable
 -   arx_forecaster
 -   pkgdown
-
-# epipredict 0.0.0.9000
-
 -   Publish public for easy navigation
 -   Two simple forecasters as test beds
 -   Working vignette
+-   use `checkmate` for input validation