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Description
I suppose there is an implicit expectation that all chains are the same length, but different lengths can occur when doing filtering with e.g. dplyr. I think the recommended workflow should likely be to merge chains before doing this kind of filtering, but I guess that can't be enforced.
Currently, different draws formats handle chains of varying length differently in how they calculate niterations (even after repairing). And draws_array does not allow different length chains at all -> I think the error message could point to merge_chains as a solution.
Consider filtering a draws_df based on the value of some variable (below dplyr is used to do so, but it could be done in base R syntax). This can end up with a draws_df that has different length chains.
library(posterior)
library(dplyr)
fdraws <- example_draws() |>
as_draws_df() |>
dplyr::filter(`mu` > 0) |>
repair_draws()
niterations(fdraws)
## [1] 94
niterations(as_draws_matrix(fdraws))
## [1] 89.5
niterations(as_draws_list(fdraws))
## [1] 90
as_draws_array(fdraws)
## Error in abind::abind(x, along = 3L) :
## arg 'X2' has dims=86, 10, 1; but need dims=90, 10, XShould there be a message/warning given when a draws object has different length chains that suggests merge_chains?