stan | A bank account statement analyzer | CSV Processing library

I want to calculate the derivative of the function f by Rcpp. I just found some resources in https://cran.r-project.org/web/packages/StanHeaders/vignettes/stanmath.html, which use stan headers and rcppEigen. Since all my program is coded by rcpparmadillio, I'm wondering how can I access to the auto-derivative functions by rcpparmadillio and stan header(May be other AD packages).

I make a Gatsby site with image fluid to have a responsive image on my site, that work fine in local development and when I build and use serve to deploy locally, all the images have a good size. But when it's deployed on Netlify the image choice is not the good one, and the result is little blur. The size choice to be display is just under the good one. I cannot figure what can I do to fix it... I try to way to deploy : First by hosting my site on github, and the other by drag-and-drop my site on netlify. So I'm little lost...

https://github.com/dinhostan/lavoieducode/blob/master/src/pages/stan/culture/artistes.js

https://lavoieducode.netlify.app/stan/culture/artistes

I'm trying to scrape financial data off this URL:https://www.londonstockexchange.com/stock/STAN/standard-chartered-plc/fundamentals

In this webpage, scraping the h1 tag works perfectly by referencing its class.

Source HTML:

I have an Elasticsearch index which contains data of simple car advertisement. I made a mapping:

I am trying to run a Vector Autoregression model (VAR (1)) with heteroscedasticity in Stan. I can successfully run the model using JAGS but I don't know why Stan gives some errors when running the same model. Here is the data and model:

I wanted to test a very basic application for NATS-streaming on Kubernetes. To do so, I followed the commands from the official NATS-docs.

It basically comes down to running

I am using this API - https://rapidapi.com/rapidapi/api/movie-database-imdb-alternative I am using the JavaScript implementation and I can't see the values I am supposed to. This is not my first work with APIs, but I don't understand this behavior.

My code:

Assume I have a multilevel structure of data. With a global distribution, from which I draw a highlevel distribution from which i draw a lowlevel distribution from which I draw my response variable. How would I implement such a thing in a stan model.

Below is a minimal example which I hope illustrates the problem. In the stan code there is

• one commented "model" section which is working, but ignores the mutlilevel aspect and treats every lower level equal, irrespective of the highlevel origin and provides therefor not shrinkage by the highlevel order (see pic).
• A "model"section with a forloop, which I though would do what I want, but takes forever to finish, and with a lot of warnings (Rhat, treedepth, Bayesion Fraction, low ESS)

I am quite inexperienced with modeling and all tutorials on ML-Modeling do not have the Loop-Approach I though would make sense here, so I suspect I am completely heading in the wrong direction with that. So any help will be highly appreciated.

R-Code to generate and run the model

I build a simple hierarchical stan model retrieve the probability theta of binomial distribution (code below).

My input data is a table with the information of Number of all (N) and successful (n) trials, and metadata to which group it belongs (x:0-1, t:1-225, g:1-4 and c:1-4)

Running it with rstan, I get the following error during/after sampling: