Timeline for probability in mixed multinomial logistic regression
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 28, 2020 at 13:22 | comment | added | Robert Long | As you said, the outcome is multinomial but there appears to be only one estimate, so there doesn't appear to be enough information to make a prediction. We would need to look into the workings of mcmcglmm. | |
| Jun 28, 2020 at 13:15 | comment | added | user11806155 | So maybe I can manually calculate the predictive probability myself. Statistically, what would be the correct way of the calculation using the value of SES and ID? | |
| Jun 28, 2020 at 13:11 | comment | added | Robert Long | @user11806155 That looks strange. You might want to ask on the r-sig-me mailing list because this site is for statistical questions, not for programming questions or questions about particular software. | |
| Jun 28, 2020 at 12:31 | comment | added | user11806155 | I tried this, I get a strange error > predict(m1,data.frame(SES=0.5,School='1224'),marginal=NULL,type='response') Error in FUN(X[[i]], ...) : object 'mathach' not found | |
| Jun 28, 2020 at 12:29 | comment | added | user11806155 | Thank you very much for the quick response. But mathach is a 3-category multinomial variable, would there be two equations with two different SES regression coefficients? | |
| Jun 28, 2020 at 11:22 | history | answered | Robert Long | CC BY-SA 4.0 |