Timeline for nlme model specification and estimation of empty cells using emmeans
Current License: CC BY-SA 4.0
3 events
| when toggle format | what | by | license | comment | |
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| Nov 5, 2021 at 14:27 | comment | added | Russ Lenth | The estimate for each factor combination is the overall mean plus the marginal effect for one factor plus the marginal effect of the other factor. You can estimate those marginal effects even when there are a few holes in the data. It's related to a method you could find in an old, old experimental design book for imputing a missing observation in a block experiment. | |
| Nov 5, 2021 at 11:44 | comment | added | Glen | @RussThanks. I cannot estimate the model (Singularity) when I include the variant and level interaction and that make sense. However, I don't understand how I can get an estimate for the score one - two in level = low and variant = B. | |
| Nov 5, 2021 at 3:10 | history | answered | Russ Lenth | CC BY-SA 4.0 |