The methodological paper was published as: Heidi Seibold, Torsten Hothorn, Achim Zeileis (2019). "Generalised Linear Model Trees with Global Additive Effects." Advances in Data Analysis and Classification, 13(3), 703-725. doi:10.1007/s11634-018-0342-1
An introductory vignette was added showing illustrating the package by replicating the empirical analysis from the journal publication.
Initial release of the palmtree package for partially additive (generalized) linear model trees. The estimation uses an EM-type algorithm similar to glmertree.
Details of the algorithm are described in: Heidi Seibold, Torsten Hothorn, Achim Zeileis (2016). "Generalised Linear Model Trees with Global Additive Effects." arXiv:1612.07498, arXiv.org E-Print Archive.