Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix issue 812 Broken link #862

Merged
merged 2 commits into from
Dec 4, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/notebooks/radon_example.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
"source": [
"# Hierarchical Linear Regression (Radon Contamination dataset)\n",
"\n",
"In this notebook we want to revisit the classical hierarchical linear regression model based on the dataset of the *Radon Contamination* by Gelman and Hill. In particular, we want to show how easy is to port the [PyMC](https://docs.pymc.io/en/v3/) models, presented in the very complete article [A Primer on Bayesian Methods for Multilevel Modeling](https://docs.pymc.io/projects/examples/en/latest/case_studies/multilevel_modeling.html), to [Bambi](https://bambinos.github.io/bambi/main/index.html) using the more concise formula specification for the models.\n",
"In this notebook we want to revisit the classical hierarchical linear regression model based on the dataset of the *Radon Contamination* by Gelman and Hill. In particular, we want to show how easy is to port the [PyMC](https://docs.pymc.io/en/v3/) models, presented in the very complete article [A Primer on Bayesian Methods for Multilevel Modeling](https://docs.pymc.io/projects/examples/en/latest/case_studies/multilevel_modeling.html), to [Bambi](https://bambinos.github.io/bambi/notebooks/) using the more concise formula specification for the models.\n",
"\n",
"\n",
"This example has been ported from PyMC by Juan Orduz ([\\@juanitorduz](https://github.com/juanitorduz)) and Bambi developers. "
Expand Down
Loading