modelbased
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:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
The current default plot for logistic models is like that: ``` r p
Hi all, As most of you know, I recently released {marginaleffects}, a package with functionality that overlaps and (I think/hope) complements {modelbased} and {ggeffects}: https://vincentarelbundock.github.io/marginaleffects/ ### Definitions There seems to...
When the response of a model is matrix-like, `get_response()` returns this as a dataframe with correct names. However, `get_data()` is returning the response as a nested matrix-column in the data.frame:...
It seems there is a bug in estimate_contrasts as the p-values do not change when changing the adjustment method. There will be always Tukey-adjusted p-values be reported although the comment...
Hi and thank you for your work on easystats. I wanted to point out that the contrast estimation function appears to handle the `adjust` argument incorrectly. Changing the adjustment method...
Currently, the default plot produced by `estimate_expected()` with a transformed response variable isn't correct. The data points are in the raw metric, but the predicted line is in the transformed...
If I wanted to compute effect (sum) contrasts or custom contrasts (e.g., all treatments vs control), is that something I can currently do with *modelbased*? If not, is that something...
library(emmeans) library(modelbased) How can I obtain the contrast in probabilities. When I use the argument, transform = "response", I got Odds ratio, not probabilities. ``` neuralgia_mod % regrid() %>% pairs(type...
https://github.com/easystats/insight/blob/dca9e72ef426584073ee866e5c487d0115b12a78/R/get_predicted.R#L735 brms says: `Argument 'nsamples' is deprecated. Please use argument 'ndraws' instead.` We should probably update, but how to best make it so that we maintain compatibility with old versions?...
Hello Not an issue with the fabulous easystats packages but I'm having problems generating and subsequently plotting estimated values from a GEE model using modelbased functions and see. The GEE...
