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A general description is here.
‘rfree1way’ also accepts ‘offset’ terms equal to the number of simulated observations, allowing to sample from more complex models.
‘data()’ will accept text files with further extension ‘.zst’ or ‘.zstd’, and read them on builds with ‘zstd’ support.
‘free1way(, MPL_Jeffreys = TRUE)’ implements maximum penalised likelihood estimation with Jeffreys prior for all model parameters simultaneously, along with Wald-type inference.
‘drop1.glm()’ misbehaved for models fitted with ‘y = FALSE’ (PR#19128, Amal Tawfik).
‘confint(<free1way>, parm)’ returned confidence intervals for all parameters when ‘parm’ requested a subset.
‘summary(<free1way>)’ renames p-values to ‘Pr()’ and thus ‘printCoefmat’ recognises them.