# bolasso 0.2.0

- 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.