modelbased
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easystats
:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
I'd like to re-use visualisation_recipe in other packages (e.g., it could be relatively easy to implement for correlation), which would require the move the base method definition to datawizard/insight (after...
It would be really nice if the plot method for estimate_contrasts had an argument to add the relevant raw data to the plot, ala: ``` r library(modelbased) library(see) library(ggplot2) model
By locating the points of change (using `find_inversions`) on all the posterior draws of the link we could have a uni/multi-modal distribution of points of change.
See https://github.com/strengejacke/ggeffects/issues/216 - [ ] https://github.com/easystats/insight/issues/374
One thing that is rather difficult is the "overal" estimated means from a model, i.e. the count component conditioned on the zi-component: ``` r library(glmmTMB) library(modelbased) library(ggeffects) model #> #...
Hello all, I have an issue that maybe you can help me with. Whenever I have a model with log-transformed response e.g., `model
Okay I made a few attempts, but the issue is I cannot seem to be able to pass a datagrid to `marginaleffects::marginalmeans()`. Which blocks me from doing things like: ```...
Trying to estimate confidence intervals for the random effects in a `coxme` model using `modelbased::estimate_grouplevel`, but the error message suggests that it's not actually supported (reprex below). Other `modelbased` functions...
Hi, It seems that `model_parameters()` isn't calculating the correct point estimate (and 95% CI) for all subgroups in a metafor::rma() object. Below, I show that `predict()` and `emmeans()` yield the...
Following discussion in https://github.com/easystats/datawizard/issues/206, https://github.com/easystats/modelbased/blob/005e2ba80b967accc4a9e7587605ef48284e3a73/R/utils.R#L1-L8
