-
Hi Daniel, I have noticed that the random effects estimates presented in the tab_model table differ substantially from the values in the raw brms output. Fitting the model in lme4 and using tab_model …
-
we should probably add a class attribute to `effectsize::standardize_posterior()`, and then add a `describe_posterior.xxx()` method to _bayestestR_, than we can make it work in _parameters_.
_Origi…
-
This used to work with previous versions of `tibble` but not anymore:
``` r
library(tibble)
df * Size 21: Existing data
#> * Size 7: Column `y`
```
Created on 2020-03-02 by the [reprex pac…
-
** If this is a question and not a bug report or enhancement request, please post to our google group at https://groups.google.com/forum/#!forum/monocle-3-users**
**Describe the bug**
Psuedotime e…
-
I have problems running the CRAN version of shinystan.
When I try to load the library, I get the following result:
library(shinystan)
Loading required package: shiny
**\* caught segfault ***
addres…
rubgb updated
4 years ago
-
Finish the blog post with:
- Unknown variance (see `rstanarm`'s `get_stanmodel()` for pre-compiled models)
- Reparameterization discussion (reference StanCon tutorial notes)
To be included in a…
-
Why does `p_rope` become `ROPE_Percentage` in `describe_posterior()`?
The value is not a % (0-100)... can be misleading.
``` r
library(bayestestR)
x Parameter Median CI CI_low CI_hi…
-
Hello,
I want to do Bayesian Model Averaging involving 19 models (intercept only model + 18 models involving combinations of main and/or interaction effects with the three categorical predictors I …
-
Estimating stan_lm models with log(outcome).
Previous version of emmeans ran without difficulty.
Since updating to 1.4.2, can't estimate any marginal means with
error message: non-conformable …
-
to compute BFs from models, additional parameters have to be added:
- `brmsfit` models **must** have been fitted with `save_all_pars = TRUE`
- `stanreg` models **must** have been fitted with a d…