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:crystal_ball: Easy access to model information for various model objects
See https://github.com/easystats/easystats/issues/73 To add support for models, especially for _parameters_ and including all features, we need following methods: - `insight::find_formula()` - `insight::model_info()` - `insight::get_parameters()` - `insight::get_statistic()` - `insight::find_statistic()` - `insight::get_varcov()`...
When building the site of a simple testing R package locally and rendering the article, the `insight::get_variance()` function works as expected. However, when building the site via GitHub Actions, the...
There seems to be a discrepancy between the residual variance calculated using `brms::VarCorr()` and `insight::get_variance_residual()` for a brms model. Apologies if I'm missing something obvious. ```r library(brms) # v2.21.0 library(insight)...
Allow for the removal of Table 2 or Table 3 subtitle in print_md 
The get_variance() function returns NULL when used with brms models that include a formula for modeling variance (e.g., sigma ~ cyl). ``` library(brms) library(insight) #v0. 20.4 m
Hi The ```bayestestR::bayesfactor_parameters()``` applied to the brms linear model respects ```effects```, ```component``` and ```parameters``` options that allows for computing ```bayes_factor``` for a single parameter. However, for nonlinear model, these options...
### Discussed in https://github.com/easystats/bayestestR/discussions/693 Originally posted by **JWiley** January 27, 2025 I am experiencing some behaviour that I think is unexpected, but perhaps I am missing something. I fit some...
It appears that get_variance() in insight (v0.99.0.13) doesn’t handle brms models with an intercept-only sigma term correctly. When comparing models with and without sigma, the expected residual variance (var.residual) and...