Timeline for Why do I get exact singularity when I add a dummy variable to a multinomial logistic using R mlogit?
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 11, 2012 at 18:23 | vote | accept | DartPrivateer | ||
| Mar 10, 2012 at 21:29 | answer | added | DartPrivateer | timeline score: 4 | |
| Mar 9, 2012 at 16:00 | comment | added | DartPrivateer | Thanks for the suggestion. I checked, and there is variability in choices within each dummy group, so I don't think that's the issue. | |
| Mar 9, 2012 at 10:57 | comment | added | Ben Lauderdale | Check whether odd.dummy (or the relevant variable in your data set) perfectly predicts membership or non-membership in any of the outcome categories. If it does, you have perfect separation and the mlogit command is choking when it tries to estimate the standard errors. | |
| Mar 9, 2012 at 5:50 | history | asked | DartPrivateer | CC BY-SA 3.0 |