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Hi Paul,
I'm trying to allow the full variance-covariance matrix of the random effects to vary across groups using the gr(re, by = "cat_var") syntax (from issue [365](https://github.com/paul-buerkn…
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In Bambi which uses PyMC3, it's possible to plot a smoothed histogram (using kernel density estimation) of the marginal posteriors of each stochastic random variable. For example see https://docs.pymc…
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Hey! First of all, I really appreciate this package and also the publication which really helped me to understand multilevel mediation analysis.
I was wondering whether it is possible to customize …
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@catarinawor and I have been in discussion with Cole M at NOAA about when to apply the Jacobian correction after reading about it in his new publication.
I've done a bit of a deeper dive on this t…
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Hello,
I have been using and modifying the `mlVARsim()` function for a simulation study and want to make some minor suggestions for improvement.
### Random Effects Standard Deviation
The followin…
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- [ ] Group-level effects (Hierarchical Models):
- [x] Varying-Slope: `(x_1 | group)`
- [ ] Varying-Intercept-Slope: `(1 + x_1 | group)`
- [ ] Correlated Group-level effects:
- [ ] "ON" …
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Hello,
I'm using the package performance (love it), and came across an issue. It seems the `r2()` function can't deal with glmmTMB models that include a dispersion model (dispformula). Would there …
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### Is your feature request related to a problem? Please describe.
FIMS currently has a flag that allows the user to estimate parameters as random effects, but the model still lacks the infrastructur…
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It would be useful to compute the multilevel correlation as a random intercept & random slope mixed-effects model, which allows ID slopes to vary. This option, along with the current approach (random…
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I am new to R (and coding in general) and am performing a network meta-analysis comparing 4 different treatments using BUGSnet.
I am running a random effects model and have followed the vignette on t…