parameters
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:bar_chart: Computation and processing of models' parameters
Hi @jacob-long! 👋 Hope you are doing well. We were wondering if it would be possible for you to review the existing articles? https://easystats.github.io/parameters/articles/overview_of_vignettes.html `{parameters}` has seen a phase of...
Added a few tests to hopefully cover most of edgecases. The code is a bit bulkier and redundant but at least the logic is clear and easy to debut.
Hi Daniel, I love the parameters package, it's been very useful for my mixed model analysis. I'm using a PC with Windows OS and need to use ```parallel = "snow"```...
In the documentation of `pool_parameters()` it says for the argument `x`: >*"A list of `parameters_model` objects, as returned by `model_parameters()`, or a list of model-objects that is supported by `model_parameters()`."*...
If I use print_md() in an Rmd document to be knitted to PDF, it works just fine (the rendered table looks like beautiful latex output), until I use it in...
A lot of the objects listed below are actually supported in _parameters_, but developers who will be comparing it with _broom_ will think they aren't because there are no exported...
`show()` is a native R method from core `methods` package for printing objects, for many cases just a wrapper around `print()`; some R interfaces rely on using `methods::show()` rather than...
Currently in `parameters:::.extract_parameters_generic` and related functions, we apply the `keep`/`drop` filters as a last step. This means that p values are adjusted based on all of the parameters, rather than...
```r m
Sorry if I am missing something, but I can't find a way to include the fixed effects solutions that are set to 0 due to restrictions/constraint. Here is an example...