brms | brms R package for Bayesian generalized multivariate non | Data Visualization library

I'm trying to fit a Bayesian model using brms::brm() replacing the prior of one parameter in the model one after another by purrr::map2() (I have 63 priors for that parameter). I can 'theoretically' save the each fitted model as a distinct object in the global environment (i.e. my workspace) by list2env(), thanks to the answer of my previous question. By list2env(), the objects (brmsfits) would be saved after the all 63 iterations are done. However, when I run the whole code, always I get an error message saying Error in scan(con, nlines = 1, sep = ",", quiet = TRUE) : could not allocate memory (0 Mb) in C function 'R_AllocStringBuffer' and no brmsfit object is stored in the global environment, although the model fitting seems to be done 63 times, as much as my prior exist.

Therefore, I would like to save each brmsfit object as an R object and as an .Rds or .Rda file immediately after its iteration done as to avoid such a memory problem. But, what should I do to realise that?

Note that the following command is just a "schematic" example, with publicly available data, of what I'm trying to do. It will work without the problem I mentioned above, since the data and the model in brm() in this example are way simpler and the number of priors is much fewer than what I'm tackling.

I am building a hierarchical model using the BRMS package in R, and having trouble fitting a model successfully. When running the code it outputs "Compiling Stan program...", runs for about five minutes, and then stops. There are no other messages or errors, but there is no model object.

Some reproducible code from an example online, though I imagine this is not code related since the same issue occurs in my model and this one downloaded from a tutorial. When running the following code the only console output is:

I ran a bayesian linear mixed model with brms and can plot the estimates nicely but I can't figure out how to order the single-subject estimates based on the mean of the posterior samples (so as to get a caterpillar plot). This is what I've done.

Toy data:

I ran some multilevel models using brms and am following the examples here to plot draws from the posterior for each parameter.

Here's a toy dataset to reproduce the problem

I have a (toy) dataset where each subject did 10 repetitions of a task, where they had to guess the distance between two points shown. In this dataset I have the ratings given by external judges (not the participants themselves) on the performance of each of those subjects.

(crossposting from mcstan)

Operating system: Ubuntu 18.04.5 LTS

brms version: 2.13.5

I have run a Bayesian ordinal regression using Buerkner's brms package (which provides a user-friendly interface to stan) and now am trying to plot the effect of three categorical predictors (Morphology, Cluster2, CountryExperiment) on the response variable (a Likert scale with 7 points). Following closely the information written by Paul Buerkner on conditional_effects for his package, I used the following code:

I am calculating a negative binomial regression using the brm function from the brms package. As this takes quite some time, I would like to use multiple cores as suggested in the documentation.

I ran a brms model with two continuous predictors and am trying to plot the effect. Specifically, I want to customize the linetype of the predictor to make it photocopy safe.

I took a look at the following topic already: https://discourse.mc-stan.org/t/change-aesthetics-conditional-effects/13500 but there it is only explained how to change the color of the line and the color of the ribbon, but I want to change the linetype of the lines using for example scale_linetype_manual.

I use the reproducible example also used in that topic:

I am trying to update the version of particular dependency in my Spring Boot project using the below command. However the dependency version is not getting updated. This is the command I am using: