Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
docs: added commented examples in demo.R using robyn_hypsbuilder() and robyn_modelselector() functions to build hyperparameters default values and help on visual model selection based on combined metrics criteria (using lares >= 5.2.4 CRAN version)
feat: enable ... parameter to let users export additional information into .json files into a new "Extras" element using in robyn_write()
feat: new baseline_level parameter for robyn_onepagers() to allow variables aggregations.
fix: check_metric_dates() dynamic quiet on robyn_allocator()
fix: using robyn_recreate(), ask users to provide 'dt_input' input, and now mention that 'dt_holidays' input is optional
None of the changes or feats change default behaviors nor disrupt past versions.
docs: added commented examples in demo.R usingrobyn_hypsbuilder()androbyn_modelselector()functions to build hyperparameters default values and help on visual model selection based on combined metrics criteria (using lares >= 5.2.4 CRAN version)...parameter to let users export additional information into .json files into a new "Extras" element using inrobyn_write()baseline_levelparameter forrobyn_onepagers()to allow variables aggregations.check_metric_dates()dynamic quiet onrobyn_allocator()robyn_recreate(), ask users to provide 'dt_input' input, and now mention that 'dt_holidays' input is optionalNone of the changes or feats change default behaviors nor disrupt past versions.