Thanks for that workaround - very helpful. I'll use that in the meantime and stay tuned to see if there's an update at some point. Many thanks-

Great, thanks so much! I figured it was a something small. Glad to hear it was an easy fix. I'll use the GitHub installation method and move forward. Have a great weekend.

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It was a bookkeeping error. I made a fix to the code for nuisance factors so that the grid slot is consistent with the linfct slot. That alone actually fixes it, but in the meantime I had made a fix to emtrends so it counts the rows in linfct instead of grid. That also fixed the bug.

In the meantime, it is possible to do it by manually computing the difference quotients, even with nuisance factors included:

Hi Russ - thanks for your work on this great package. I have recently been using the emmeans() function on categorical variables in a model with 50+ variables and 250K+ observations, so employing the "nuisance" argument to simplify the grid has been important to that workflow. I recently tried the same approach using the emtrends() function with a continuous variable. It works as expected when I don't include any nuisance variables, but when including them, the output doesn't make sense to me (has only one group when it should have two; has an odd trend estimate). See example below. I can't tell if I'm misunderstanding how emtrends() handles nuisance arguments, or whether it's a bug. Thanks! Josh Nugent Kaiser Permanente Division of Research

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PS --- It's a little confusing to include A in the specs, since its value isn't material to the estimates. We get less confusing output by leaving it out:

I expect that the slopes should be around .25 for the "0" group and .5 for the "1" group, as they are when I exclude the nuisance argument.