modelbased
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:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
First, there is an issue in `get_datagrid()` (https://github.com/easystats/insight/issues/611), but once this is fixed, the order of columns should be as shown in the below example. For such plots, I would...
I think we should change the behaviour of `data = "grid"` in `expect_relation()` (and related), and add an option like `data = "fullgrid"`. With this, we could: ``` r #...
@DominiqueMakowski This is a draft for _ggeffects_, WDYT? From the docs: `predict_response()` is a wrapper around `ggpredict()`, `ggeffect()`, `ggemmeans()` and `ggaverage()`. Depending on the value of the `marginalize` argument, `predict_response()`...
In the manual for `estimate_contrasts`, it says: `method: Contrast method. See same argument in emmeans::contrast.` However, only `method = "pairwise"` seems to work (see MEW below). I think this is...
Related to https://github.com/easystats/see/pull/310 `visualization_recipe()` adds the alpha-aes, but it's mapped to a discrete scale, which yields a warning (and thus, some tests fail for _see_). ``` r model Warning: Using...
I suspect the reason is that `.clean_names_frequentist()` should also include `names(means)[names(means) == "rate"]
Let's say I fit a linear model with a continuous-by-categorical interaction. ``` r fit Estimated Marginal Effects #> #> Species | Coefficient | SE | 95% CI | t(144) |...
This may be an {emmeans} question, but if I run a one-way repeated measures ANOVA and give it to `estimate_contrasts()`, is it doing *paired* t-tests for each pair? I'm confused...
R CMD check is also failing for the same reason. cf. https://github.com/easystats/modelbased/actions/runs/6219853679/job/16878726351 ```r -- RMarkdown error ------------------------------------------------------------- Quitting from lines 144-156 [unnamed-chunk-5] (modelisation_approach.Rmd) -------------------------------------------------------------------------------- Error in `map()`: ℹ In index:...
``` r library(modelbased) data ! object 'interaction(wt, cyl)' not found #> Backtrace: #> ▆ #> 1. ├─base::tryCatch(...) #> 2. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) #> 3. │ ├─base...