Added the argument exclude_xy_cov and exclude_feedback to get_add() and model_set(), for excluding paths that create feedback loops, and covariances involving a predictor and an outcome variable (including those linked by indirect paths). Default values has been changed to TRUE since 0.1.3.5. To reproduce results from previous version, set them to FALSE. (0.1.3.2, 0.1.3.5)

Added min_bpp_labelled to model_graph(), to hide the labels of models with small BPPs. (0.1.3.5)

Added the argument drop_equivalent_models, to model_set(). If TRUE, the default, the models fitted will be checked for equivalence. If two or more more models are equivalent, only one of them will be retained. The groups of equivalent models identified, and the models dropped, will be printed by the print method. (0.1.3.9)

Added measurement_invariance_models(), for generating metric and scalar invariance models and their partial invariance versions. (0.1.3.10 - 0.1.3.11)