poissonreg 1.0.2
Predictions via
multi_predict()for glmnet models now correctly default to mean counts instead of the linear predictor (#89).Predictions for a single observation now work for
poisson_reg()with the"glmnet"engine (#48).Predictions of type
"conf_int"for the"stan"engine now use the new function suggested by rstanarm (#86).Moved imports and declaration of global variables into the standard place (#59).
Tests on the model specification have been updated to the current testing pattern in parsnip and other extension packages (#55).
Tests are now self-contained (#60).
Removed obsolete check on supplying
newdataas an argument topredict()ormulti_predict()(#87).The
predict()method for the"glmnet"engine now checks the penalty value viaparsnip::.check_glmnet_penalty_predict()instead of a copied version of the function (#57).Removed the now obsolete registration of the
predict_raw()generic as it is now exported from parsnip (#52).Removed the unused internal
s3_register()function (#53).
poissonreg 0.2.0
CRAN release: 2022-03-09
- Model definition functions (e.g.
poisson_reg()) were moved to the parsnip package.
poissonreg 0.1.1
CRAN release: 2021-08-07
A default engine of
glmwas added forpoisson_reg().Added
tidy()methods forpscl::hurdle()andpscl::zeroinfl().
poissonreg 0.1.0
CRAN release: 2020-10-28
Work-around for a
glmnetbug where different column order will silently produce incorrect predictions.multi_predict()was enabled.Updates to go along with new version of
parsnip.
