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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"*,
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I have a package that reuses the code for the NSE developed in `datawizard`. `datawizard` and all other `easystats` packages are licensed with GPL-3, which means that I also need to license my other p…
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> I also tried ggeffects a while ago and noticed that it does not handle nlme objects (at least as I expected). The function 'nlraa::predict_nlme' produced confidence bands and could be called by 'gge…
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- The partial-matching workflow leads to errors, even if those issues occur in other packages, where we cannot control the behaviour (e.g. https://github.com/easystats/insight/actions/runs/9677160242/…
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`check_overdispersion()` seems to just be returning the same results for poisson and quasipoisson. I think the latter should be based on simulated residuals, but that's not enabled yet so maybe that's…
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Hello,
I am trying to install the whole easystats package but I am getting an error with modelbased which means I can't install the dependencies I need. I am running this on an internal server whic…
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https://github.com/r-lib/roxygen2/blob/db4dd9a4de2ce6817c17441d481cf5d03ef220e2/R/rd-examples.R#L20
[3.4.0 is now 7 years old](https://github.com/wch/r-source/tree/tags/R-3-4-0), and Tidyverse poli…
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Note the difference between `model_parameters()` and `standardize_parameters()`:
``` r
library(easystats)
#> # Attaching packages: easystats 0.7.2
#> ✔ bayestestR 0.13.2 ✔ correlation 0.8.4 …
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I will take a first crack at this once the new `API` for `modelbased` is stable (https://github.com/easystats/insight/issues/315).
Should discuss:
- [ ] Differences in APIs and philosophies
- [ ]…