v0.7.1
- make predictions faster and more memory efficient when having multiple grouped random effects
- set “nelder_mead” as automatic fallback option if problems in optimization occur
- (generalized) linear mixed effects models: scale covariate data for linear predictor internally for optimization using gradient descent
- add “bfgs” as optimizer option