StatsAPI.jl
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A statistics-focused namespace for packages to share functions
This is useful to compute the correct degrees of freedoms to be used in t-test
Would it be reasonable to move the high-level abstract types for Distributions.jl and function stubs such as `logpdf`, `pdf`, etc. into StatsAPI?
This is added to StatsAPI rather than to HypothesisTests since StatsAPI also houses `HypothesisTest`, `pvalue`, and other relevant functionality. Defining this function will bring a resolution to the 7-year-old issue...
1. The `modelmatrix` has now a keyword `weighted=false` which is useful for dealing with weighted models. 2. Add `momentmatrix` - this function is intended to return the matrix of estimating...
I want to discuss the best way to have an API for `RegressionModels` that are rank deficient. In particular, I would like to have a mechanism allowing packages interfacing through...
I've added the folks who contributed the type and improvements to it and its documentation as coauthors of the commit. (Apologies if I missed anyone.) I've made only very minor...
I'm just wondering if someone could clarify what each of these function should return. For example, 1. Should `params` return trainable and non-trainable parameters? Is `params!` a multi-argument function which...
`aic`, `aicc`, `bic` and `crossmodelmatrix` will define basic generic methods here. They currently don't have tests, but should.
Variant is `:MacFadden` in the docs, but `:McFadden` in the if else branch. Googling / Wikipedia confirms that "McFadden" is correct
Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 4 to 5. Release notes Sourced from codecov/codecov-action's releases. v5.0.0 v5 Release v5 of the Codecov GitHub Action will use the Codecov Wrapper to encapsulate the CLI....