Brenton M. Wiernik


I think we should just drop the message.

I mean, Efron has done quite a lot of work over the decades on both Bayesian and frequentist foundations of bootstrap distributions, so I don't think it's necessary to say...

With respect to the question of Bayes Factor for bootstrap distributions, a reasonable approach could be to compute a relative likelihood ( exp( ∆AIC / 2 ) ) using an...

In addition to bootstrap distributions, I think it would be nice to provide an option for analytic distributions, eg to present a scaled shifted t distribution for regression model parameters.

My thinking is that this is much more of a heuristic approximation than other approximations. And it’s a bit long for a reason 😜

Compromise, leave the name and change the output to say “pseudo-BF”?

I'm good with it

@strengejacke Could we port the `keep` and `drop` arguments from *parameters* to the various *bayestestR* functions?

In my experience, R users rarely do simple dependent sample t tests like this. If this example is kept and changed to account for dependency, I would suggest specifying it...