lme4 convergence warnings & model notation
Dear list readers and R enthusiasts, I'm a master student working on a project about forecasting in the retail sector, using mixed effect models with the lme4 package. Currently, I am dealing with 2 challenges which I would like to overcome. (1) I am dealing with convergence warnings, which I am not sure how to interpret or overcome. (2) I am not entirely sure if my model formulation is correct. I would kindly like to guide you to my StackExchange post where I formulated and formatted my formulas, R output warnings, and model setup in detail for easier readability. https://stats.stackexchange.com/questions/282719/convergence-errors-random-slope-notation [https://cdn.sstatic.net/Sites/stats/img/apple-touch-icon at 2.png?v=344f57aa10cc]<https://stats.stackexchange.com/questions/282719/convergence-errors-random-slope-notation> r - Convergence errors & Random slope notation - Cross Validated<https://stats.stackexchange.com/questions/282719/convergence-errors-random-slope-notation> stats.stackexchange.com The basic idea of my research is that I am replacing the independent variable "article" with the attributes of the article such as its brand or if it is glutenfree (gf) etc. to forecast future unit... Best regards, Raphael