convergence
Quasi complete separation is one of the things that might cause the convergence problems. You'll need to investigate whether any combination of your covariates causes (quasi) complete separation. If it is in the fixed effect, you'll need to simplify the model. If it is a single random effect level, then you can get away with it. ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance thierry.onkelinx at inbo.be Havenlaan 88 bus 73, 1000 Brussel www.inbo.be /////////////////////////////////////////////////////////////////////////////////////////// To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey /////////////////////////////////////////////////////////////////////////////////////////// <https://www.inbo.be> Op vr 21 dec. 2018 om 16:22 schreef Souheyla GHEBGHOUB < souheyla.ghebghoub at gmail.com>:
Update on context: Aim: estimating the association between (1) responses accuracy and (2) time, groups, and 7 word-covariates. I included 2 covariates in the interactions with group & Time. Number of observations : 5800 glmer( *Response* ~ Characters + Band_freq + Imageability + Cognateness + Syllables + *Group*Time*PoS* + *Group*Time*Verbal_freq * + (Time|Subject) + (Time| Word), glmerControl(optimizer="bobyqa", optCtrl = list(maxfun = 2e5)), data = written.Form.data family = 'binomial' On Fri, 21 Dec 2018 at 14:46, Souheyla GHEBGHOUB < souheyla.ghebghoub at gmail.com> wrote:
Should I "ignore" or get "too concerned" about this warning? Model failed to converge with max|grad| = 0.00542358 (tol = 0.001, component 1)
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