Support for crch package - #4
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Current coverage is 8.97% (diff: 0.00%)@@ master #4 diff @@
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Thanks, I'll take a look at this soon. To answer your question, though, str(model.frame(m1 <- lm(mpg ~ factor(cyl), data = mtcars)))
str(model.frame(m2 <- lm(mpg ~ I(wt*100), data = mtcars)))
predict(m1, model.frame(m1))
predict(m2, model.frame(m2)) |
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I'll update this request to comply with the code of conduct. Apologies for not filing an issue first. Thanks for the explanation. Makes sense. |
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No worries at all. It looks like a good addition on quick glance. |
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Thanks. This looks good. I'm going to rebase and merge. You'll need to update your fork accordingly. |
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Hey, turns out |
Just a small addition.
Unrelated, but I noticed that you used
model.frameinside offind_data.merMod. It occurs to me now thatmodel.frameis a generic function that essentially serves the same purpose as the genericfind_data. I could be wrong, but I am pretty sure we could substitutemodel.frameforfind_datawithout any problems.