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## bolasso 0.2.0

CRAN release: 2022-05-09

• Added a NEWS.md file to track changes to the package.
• bolasso() argument form has been renamed to formula to reflect common naming conventions in R statistical modeling packages.
• predict() and coef() methods are now implemented using future.apply::future_lapply allowing for computing predictions and extracting coefficients in parallel. This may result in slightly worse performance (due to memory overhead) when the model/prediction data is small but will be significantly faster when e.g. generating predictions on a very large data-set.
• Solved an issue with bolasso() argument formula. The user-supplied value of formula is handled via deparse() which has a default width.cutoff value of 60. This was causing issues with formulas by splitting them into multi-element character vectors. It has now been set to the maximum value of 500L which will correctly parse all lengths of formulas.
• predict() now forces evaluation of the formula argument in the bolasso() call. This resolves an issue where, if a user passes a formula via a variable, predict() would pass the variable name to the underlying prediction function as opposed to the actual formula.