NEWS

---

galamm 0.4.1

galamm has been peer reviewed and accepted by rOpenSci, and the repository has moved to https://github.com/ropensci/galamm. This release contains the changes made during and after that review. There are no changes to the user-facing model fitting functions.

• All links to the source repository, including the continuous integration and test coverage badges, now point to the repository under the rOpenSci organization.
• The package website has moved to https://docs.ropensci.org/galamm/, and is now built centrally by rOpenSci. All documentation links have been updated accordingly, and the package no longer deploys a website of its own.
• The pkgdown configuration now requests MathJax explicitly, so that the mathematical notation in the vignettes renders reliably on the new website.
• The bundled code of conduct has been removed, since rOpenSci's code of conduct at https://ropensci.org/code-of-conduct/ now applies. The contributing guidelines link to it instead.
• The README describes how to install development versions from the rOpenSci R-universe.

galamm 0.4.0 (2025-12-21)

• Vignettes are updated to better demonstrate model checking possibilities.
• A qqmath() function has now been added, which makes quantile-quantile plots.
• residuals.galamm() now has a "scaled = TRUE/FALSE" argument.
• plot.galamm() has been considerably extended.

galamm 0.3.0 (2025-11-26)

• The expected output of a unit test has been changed.
• A bug in the computation of deviance residuals has been corrected.
• A bug in the computation of Pearson residuals for non-Gaussian models has been corrected.
• The plot() function now takes an optional argument for the type of residuals to plot.
• The family_mapping argument for mixed response types has been deprecated. Use the gfam() function instead.
• Argument weights to galamm has been renamed to dispformula. The old name weights will work for a while, but a deprecation warning will be issued.
• Improved tests.
• Improved error messages.
• Argument load.var to galamm has been renamed to load_var. The old name load_var will work for a while, but a deprecation warning will be issued.

galamm 0.2.3 (2025-07-03)

• A bug causing heteroscedastic models with more than two groups to fail has been solved. Thanks to Espen Moen Eilertsen for reporting the issue.
• Have rerun all vignettes. There are some minor changes in the formatting of summary(model), due to changes in lme4.

galamm 0.2.2 (2025-05-11)

• Internal fix to avoid warning about uninitialized variables.
• New function response() returns the response used for fitting the model.
• New print.galamm() function which is an alias for print(summary(galamm_obj)).
• Rank deficient fixed effect matrices now leads to an error. Previously only a message was written that the redundant columns were dropped.

galamm 0.2.1 (2024-08-18)

• Software paper in Multivariate Behavioral Research has been added to the recommended citation.

galamm 0.2.0 (2024-04-07)

• The print.summary.galamm() method does no longer print residual percentiles with mixed response models. The version implemented until now had a bug, and it is not clear how to present this information in a useful way.
• Fixed bug causing galamm() to fail with mixed response types, when the first argument to "family" was not "gaussian".
• BREAKING CHANGE: argument "factor", "factor_interaction" and "lambda" to galamm should no longer be enclosed in a list.
• A vignette investigating computational scalability has been added.
• formula.galamm() method has been added, inheriting from stats::formula().
• nobs.galamm() function is now exported.
• na.action argument has been added to galamm().
• input validation has been extended.
• all internal functions have been documented, using the @noRd tag to suppress generation of markdown.

galamm 0.1.1 (2023-10-13)

• Fixed bug causing galamm to fail on R4.2.3.
• Fixed memory issues in C++ code.
• In the smooth terms sl() and t2(), the argument 'load_var' has been renamed to 'factor', to correspond with the remaining factor arguments.

galamm 0.1.0 (2023-10-09)

Initial version.