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vglmer 1.0.6

• Removes unnecessary model preparation steps for parameter_expansion="translation" and factorization_method="strong". Improves speed on default settings for models with many random effects.

• Updated references in documentation.

• Small adjustment to tests to prevent failure from update to waldo package

vglmer 1.0.5

** Add gKRLS as an option for smoothing multiple (continuous) covariates. Chang and Goplerud (2024; https://doi.org/10.1017/pan.2023.27) provides more details.

vglmer 1.0.4

• 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 to predict 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 where newdata had a single row.

vglmer 1.0.3

• Adjust vglmer to not throw deprecation messages with Matrix 1.5. Thank you to Mikael Jagan for suggestions on how to adapt the code.

vglmer 1.0.2

• 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.

vglmer 1.0.1

• Patch to address compiler issues on CRAN
• Add links to GitHub to description

vglmer 1.0.0

• Initial submission to CRAN. Estimates linear, binomial, and negative binomial (experimental) models.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.