modelbased
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easystats
:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
See example. `Sepal.Width` is predicted, and appears in the output column. The footer says `Predictors controlled: Sepal.Length`, but misses `Petal.Width`. ``` r m Model-based Expectation #> #> Species | Sepal.Width...
First, it's difficult to see the point estimate, and second, this plot shows no confidence intervals? ``` r m plot() ```  Created on 2022-08-11 by the [reprex package](https://reprex.tidyverse.org) (v2.0.1)
Please see the problems shown on . Please correct before 2022-08-20 to safely retain your package on CRAN. The CRAN Team
Hello, I came across bias adjustment for [frequentist models involving response transformations and/or random effects](https://cran.r-project.org/web/packages/emmeans/vignettes/transformations.html#bias-adj) while reading the detailed vignette in the emmeans package and wondered if the same applied...
It would be handy to be able to estimate group means from the output of a Welch Oneway Test (as you can with a Oneway ANOVA). ``` r fit Error:...
Currently, `estimate_contrasts()` applies a CI adjustment (straight bonferonni) but does not report it in the results footnote. If the CI is adjusted, we should report that in addition to the...
The current approach doesn't include uncertainty bands. I also find using `alpha` instead of `color` to map predictor levels a bit hard to follow. It would be good to adopt...
@IndrajeetPatil @bwiernik since you're arguably the most knowledgeable of other alternatives; what say you about creating a vignette to compare modelbased to other alternatives (broom::augment; tidymodels; ggeffects; raw emmeans; base...