I gave the same talk earlier in the year at the @causalab.bsky.social and this is online youtu.be/2E3NusvsMaI?...

I probably misunderstand, but when you install a package it will install other packages it depends on. And then when you load the package with library() it loads the dependencies likewise.

Indeed. This paper is a good overview of the ICH E9 addendum on estimands on this topic: doi.org/10.1136/bmj-...

Yes it could. These hypothetical estimands do indeed deviate from what I have always interpreted ITT to mean. For me ITT means analyse according to randomised group and look at outcomes irrespective of events such as treatment switch.

Sorry. I agree with you! My initial reaction/thinking was that in conditional imputation there are two variables in play, with one only defined in those for whom the first takes a certain value. But as you indicate, you can translate this into a problem with one variable. Thank you!

Probably looking at the example in the vignette will (hopefully!) make it clear.

Not the same I don't think. This is about a situation similar to censoring- you have partial info about the missing values. The smcfcs additions are though for factor variables, where instead of the exact category, you know someone belongs to one among a subset of the categories...