https://github.com/oduerr/da
Material for the data analytics course
https://github.com/oduerr/da
Last synced: 2 days ago
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Material for the data analytics course
- Host: GitHub
- URL: https://github.com/oduerr/da
- Owner: oduerr
- Created: 2020-06-20T18:54:10.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2025-06-27T05:42:13.000Z (12 months ago)
- Last Synced: 2025-06-27T06:29:32.462Z (12 months ago)
- Language: Jupyter Notebook
- Size: 63.1 MB
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# da
Material for the data analytics course
Moodle Course Site: https://moodle.htwg-konstanz.de/moodle/course/view.php?id=1553
Website (under construction): https://oduerr.github.io/da/Stan_Primer_Full.html
# Installation for SomSem 2025 at HTWG
## Ideal Case: Installing cmdstanr on your Laptop
Please install [cmdrstan](https://mc-stan.org/cmdstanr/) on your laptop.
## Using HTWG machines
You can install the cmdstanr with
```
install.packages("cmdstanr", repos = c('https://stan-dev.r-universe.dev', getOption("repos")))
library(cmdstanr)
check_cmdstan_toolchain(fix=TRUE) #fix=TRUE important for PATH
install_cmdstan(cores = 8, overwrite=TRUE)
```
## Fallback when not using HTWG machines (rstan instead of cmdstamr)
If you don't manage to install `cmdrstan` on you local machine. You can try to install [rstan](https://mc-stan.org/users/interfaces/rstan) on your local machine. Or you can
you can use a Kaggle Notebooks as cloud based application. See [oduerr-rstan](https://www.kaggle.com/code/oduerr/oduerr-rstan) for an example of such a notebook.
## Checking installation
From https://github.com/oduerr/da/tree/master/stan/checking_installation upload the 'simple_lr.stan' file to the RStudio (server or local) and execute the file 'check_cmdstan_installation.R'