Timeline for Singular fit error caused by random factor
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 25, 2019 at 1:30 | comment | added | Caity | If I change nAGQ to equal 0 I no longer get the singular error. I have attached a link to some raw data @Dimitris link | |
| Apr 21, 2019 at 1:03 | comment | added | Caity | Thanks for your help Dimitris. I think I just don't understand stats well enough to know what I'm doing. I have tried this as you suggested but still get the singular fit error. m5=glmer(segregation~total + carrier.gender +(1|couple), data=data1, family=binomial,nAGQ = 10) | |
| Apr 20, 2019 at 18:25 | comment | added | Dimitris Rizopoulos | It will be difficult to see what it's going on without trying on the data. | |
| Apr 20, 2019 at 12:00 | comment | added | Caity | If I use only couples I still get a singular fit. Theoretically the outcome shouldn't be effected by the couple or the cycle but I feel it should be included in the model as some couples have many embryos while others only have 1. | |
| Apr 20, 2019 at 4:14 | history | answered | Dimitris Rizopoulos | CC BY-SA 4.0 |