v0.7.7

• Reduce memory usage for Vecchia approximation
• [R-package] add function for creating interaction partial dependence plots
• Add function ‘predict_training_data_random_effects’ for predicting (=‘estimating’) training data random effects
• [R-package][python-package] predict function: rename ‘raw_score’ argument to ‘pred_latent’ and unify handling of Gaussian and non-Gaussian data
• (G)LMMs: better initialization of intercept, change internal scaling of covariates, change default value of ‘lr_coef’ to 0.1
• Add ‘adam’ as optimizer option
• allow for grouped random coefficients without random intercept effects
• [R-package][python-package] nicer summary function