IBLM 1.0.2

Major changes

• iblm class model objects now require factor variables for categorical features. Users should explicitly convert character columns to factors before training.

New features

• Added “IBLM” vignette providing a comprehensive walkthrough of package functionality.

Bug fixes

• Fixed bug where all variable types were converted to numeric before training and predicting of booster model, which could lead to improper handling of categorical features.

Internal changes

• Updated to maintain compatibility with xgboost v3.1.2.1. Package now requires xgboost >= 3.1.2.1.

IBLM 1.0.0

• Initial CRAN submission.