Brenton M. Wiernik

The between-within method was derived for repeated measures (fixed effects) designs with various error structures, not for random effects or mixed effects designs. So it doesn't pay any attention to...

If I am using keep to remove the control variables and just have the focal parameters for my hypotheses, I would expect the p value/CI adjustments to be based on...

Awesome thanks!

Not sure. What are all of the statistics you extract from the psych fa object?

If it’s just the rotated loadings you use from psych, then indeed fungible provides a good alternative. If you are also extracting fit information, etc., I’m not sure if fungible...

Yeah, I can take a look

One of the major benefits of parameters is that we provide a simple interface for bootstrapping that otherwise are really difficult for new users (learning to use the boot package...

If someone implements this, all of the assignments should be stacked like: ``` model_parameters.a

Hmmm, there's a way, let me see what I did before Edit: ah nope, I was misremembering.

It's a Roxygen limitation