-
Adjust
predict.vglmer
to allow for faster predictions on large datasets by not copying and filling in a large sparse matrix. Thank you to Michael Auslen for pointing out this issue. -
Add the option for
terms
topredict
to allow for predictions for each random effect separately -
Address a bug where predictions with
NA
in new data.frame would fail for certain splines or for cases wherenewdata
had a single row.
- Adjust
vglmer
to not throw deprecation messages with Matrix 1.5. Thank you to Mikael Jagan for suggestions on how to adapt the code.
- IMPORTANT: Fixes bug where prediction with only one spline (and no random effects) was wrong; the non-linear part of the spline was ignored.
- Smaller bug fixes around splines (e.g., for using a single knot) have been added as well as updated tests.
- Patch to address compiler issues on CRAN
- Add links to GitHub to description
- Initial submission to CRAN. Estimates linear, binomial, and negative binomial (experimental) models.