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Dear Professor @lhvanegasp ,
Just wanted to announce that glmtoolbox is getting more and more support!
- emmeans
- easystats::insight (https://github.com/easystats/insight/pull/895)
- easystats::p…
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Related to https://github.com/easystats/see/issues/346
I know that orthogonal polynomials won't be collinear (that's their point). But I want to be able to show that while teaching.
``` r
libra…
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As discussed in #401 and https://github.com/easystats/easystats/pull/403
## Progress tracker:
- [ ] insight
- [ ] modelbased
- [ ] bayestestR
- [ ] effectsize
- [ ] parameters
- [ ] perfo…
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I have been evaluating the quality of modelfit with the easystats package (0.7.1.2). Since I have mixed models I use the r2_nakagawa() function and since the last update I did (easystats::install_late…
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Currently, since we don't include favicons in the repo, they need to be generated each time the pkgdown website is built, and we would like to avoid this expensive operation.
So, what you need to d…
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There are many such instances in this test file:
https://github.com/easystats/performance/blob/c8977486a8f61e8de76840eb29bafb16c0925a6b/tests/testthat/test-model_performance.bayesian.R#L7
`insig…
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Is this the right name for this test file? I don't see what these tests have anything to do with data frames 🤔
https://github.com/easystats/insight/blob/main/tests/testthat/test-data.frame.R
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cf. https://github.com/easystats/datawizard/actions/runs/9044484308/job/24853189492
Either we fix these, or we bump the minimum needed R version to 4.0 across the ecosystem.
I prefer the latter.
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Although the package names have high face validity, it still might not be 100% clear if after fitting a model I should use `parameters` or `estimate`? For a Bayesian model, should I *also* or *only* u…
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Do we have any thoughts of developing an API across all packages?
Something line *"if you have methods for the relevant `insight` functions, all `bayestestR` functions will work for your model"*,
…