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.

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.

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.

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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-

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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:

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

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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