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brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

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The current version of `stanc3` generates the following warning: ``` Warning: Declaration of arrays by placing brackets after a type is deprecated and will be removed in Stan 2.32.0. Instead...

Stan

Would it be possible to allow users to set a global prior for all levels of `coef` within a cumulative model? Here's an example of what I mean: ```{r} #...

feature
priors

Hi, is there any plan to implement the Generalized Pareto Distribution in `brms` (https://github.com/paul-buerkner/brms/issues/110#issuecomment-348161747)? I am playing around with an extreme values analysis and it looks like extremes collected as...

feature
family
good first issue

Two potential speed-ups for spline and HSGP models (without random effects) ## 1. use _glm more often. E.g. formula `y ~ s(x)` generates code with ``` vector[N] mu = Intercept...

efficiency
Stan

Hi, I just noticed a small bug in the warning message that is displayed if there are divergent transitions. I get `Warning: There were 40 divergent transitions after warmup. Increasing...

bug

**Expected behavior:** `brm_multiple` contains a `...` to pass arguments to `brm`, suggesting that variational inference should be possible by changing the default `algorithm = "sampling"` to either `"meanfield"` or `"fullrank"`....

bug

Hi, I've come across a difference in results on two machines running the same version of brms (2.17.0) and I'm wondering if you have any insight. [This model](https://environmentnswgov-my.sharepoint.com/:u:/g/personal/hayden_schilling_dpie_nsw_gov_au/EYZA7zXputlKhypvn0pg3SQBj_Xmnj9yDwPykjjVMGYc1A?e=A1HCJw) is needed...

bug
wontfix

The density of the generalized extreme value distribution (i.e., the `brms::gen_extreme_value()` family) in the [`brms_families`](https://cran.r-project.org/web/packages/brms/vignettes/brms_families.html) vignette (brms v2.17.0) might have a typo in the exponent of $t(y)$: It reads $-1...

bug

I am fitting a multiple response variable model using the subset syntax to provide each formula a mostly non-overlapping set of data in order to estimate correlated random effects across...

bug

I am fitting a multiple response variable model using the `subset` syntax to provide each formula a mostly non-overlapping set of data in order to estimate correlated random effects across...

bug