modelbased
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:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models
As discussed in easystats/report#372 ``` r library(modelbased) model No variable was specified for contrast estimation. Selecting `contrast = "Species"`. #> Marginal Contrasts Analysis #> #> Level1 | Level2 | Difference...
`estimate_contrasts()`: Different results using `as.factor()` within or outside formula: ``` r library(modelbased) # as.factor within model = 2 levels model No variable was specified for contrast estimation. Selecting `contrast =...
Both type = "random" and type = "total" seem to return the same estimate, but I think total should be the random + fixed. ``` r library(brms) library(modelbased) data("klein2000", package...
I fit a linear mixed-effects model using lmer from lme4 with the formula: `Response ~ Age + Gender + tOrder + Condition * Scale + (1|Participant)` ``` (mbc 0.05. What...
``` r library(modelbased) library(rstanarm) library(emmeans) model
I have a question regarding the degrees of freedoms used in post-hoc tests in modelbased. The parameters package allows the selection of "betwithin" or "ml1" degrees of freedoms for GLMMs...
If a *modelbased* object contains multiple CIs, `visualization_recipe()` currently produces an invalid plot call. It should check for multiple CI columns and then iterate over them with `alpha = .3`...
Super weird, this [test](https://github.com/easystats/modelbased/actions/runs/3259718126/jobs/5352754754#step:8:216) fails on the GHA + also when I run the checks locally, but not when I directly run or reprex the code... ``` r library(modelbased) data
When doing estimate_contrasts with transform = "response" for a logistic model the estimates are not in terms of probabilities like the help page said: "Thus for a logistic model, "none"...
Automatically updated the `DESCRIPTION` file using `usethis::use_latest_dependencies()`.