Comments (3)
-
No as,
estimate_means
relies on emmeans, so if no emmeans support, then no modelbased 😕 -
I don't think so, as estimate_means (i.e.,
emmeans
behind the scene) requires some more information about the model (if I'm not mistaken @mattansb)
from modelbased.
Unfortunately there is not way to automatically get estimates from BayesFactor
objects or from weighted_posteriors()
results... Only manually...
from modelbased.
Bummer... Oh well, thanks @DominiqueMakowski and @mattansb for the quick response, appreciate it.
from modelbased.
Related Issues (20)
- CRAN submission HOT 15
- between_within or ml1 df for post-hoc tests based on glmm HOT 3
- Provide `verbose` parameter to key functions to suppress messages/warnings
- Fix broken example
- Error in CRAN checks on R-devel-windows
- estimate_contrasts , p-value and 95% CI do not agree HOT 4
- Possible bug with estimate_grouplevel() for brms model HOT 5
- `estimate_contrasts()`: Different results using `as.factor()` within or outside formula
- Plotting from `estimate_means()` with a poisson model fails HOT 3
- methods other than "pairwise" for `estimate_contrasts()` fail
- `modelization_approach` vignette fails to render HOT 1
- Pairwise paired contrasts?
- Feature Request: Contrasting Simple Slopes HOT 1
- `visualization_recipe()` for `estimate_slopes()` should not map alpha to discrete values HOT 5
- CRAN submission (deadline 20/02) HOT 2
- Harmonize ggeffects and modelbased
- Keep code R-3.6 compatible
- Unable to install package on cran HOT 4
- CRAN failures HOT 5
- Tests fail to find TBB installation: `Library not loaded: @rpath/libtbb.dylib`, which break several `brms`-related tests [ FAIL 6 | WARN 0 | SKIP 3 | PASS 165 ] HOT 4
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from modelbased.