Translating ML into Bayes, one line at a time
☆81Jan 27, 2026Updated last month
Alternatives and similar repositories for Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
Users that are interested in Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse are comparing it to the libraries listed below
Sorting:
- ☆18Nov 10, 2022Updated 3 years ago
- The ebook version lives here: https://solomon.quarto.pub/dbda2☆153Jan 5, 2026Updated 2 months ago
- A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.☆31Feb 1, 2018Updated 8 years ago
- Bayesian Modelling in Epidemiology Case Line Lists☆14Oct 7, 2025Updated 5 months ago
- Working through "Regression and other stories," one chapter at a time☆58May 24, 2023Updated 2 years ago
- The ebook lives here:☆136Jan 28, 2026Updated last month
- The completed ebook lives here:☆27Jan 27, 2026Updated last month
- R scripts for custom brms families☆14Jul 12, 2024Updated last year
- ☆12Oct 5, 2023Updated 2 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆38Dec 2, 2020Updated 5 years ago
- Slides for the workshop Designing ggplots☆11Nov 21, 2021Updated 4 years ago
- This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.☆31Feb 18, 2024Updated 2 years ago
- A workshop on latent variables models including factor analysis, PCA, SEM, etc.☆15Mar 6, 2019Updated 7 years ago
- R package for Bayesian multi-state modelling of chronic disease burden data☆10Oct 30, 2023Updated 2 years ago
- An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors☆11Apr 8, 2025Updated 11 months ago
- Lander Analytics Bayes/Stan Class 2021☆10Aug 3, 2021Updated 4 years ago
- ☆28Aug 7, 2025Updated 7 months ago
- Bookdown for Hands-On Spatial Data Science with R☆13Oct 25, 2023Updated 2 years ago
- Tools and tutorials for multi-level regression and post-stratification of survey data☆11Mar 5, 2024Updated 2 years ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆27Oct 30, 2025Updated 4 months ago
- The ebook lives here: https://solomon.quarto.pub/sr/☆413Jan 28, 2026Updated last month
- ☆11Sep 16, 2024Updated last year
- Chapter on causal inference for *R for Political Data Science: A Practical Guide*☆42May 11, 2021Updated 4 years ago
- A 6 hour course on Stan with Dan Simpson, Vianey Leos-Barajas, and Andrew MacDonald☆19Jun 21, 2020Updated 5 years ago
- Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"☆13May 18, 2022Updated 3 years ago
- Workshop Materials "Advanced Bayesian Statistical Modeling in R and Stan "☆12Nov 23, 2023Updated 2 years ago
- ☆14May 8, 2025Updated 10 months ago
- ☆14Sep 17, 2023Updated 2 years ago
- Short course on parametric survival analysis☆15Nov 22, 2024Updated last year
- Implementing MCMC sampling from scratch in R for various Bayesian models☆111Dec 7, 2023Updated 2 years ago
- My notes on Bayesian statistics in Stan, etc (2018-)☆14Nov 14, 2020Updated 5 years ago
- A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan impl…☆44Oct 26, 2022Updated 3 years ago
- Quick Guide for Modelling Count Data in A Multilevel Framework☆16Mar 6, 2022Updated 4 years ago
- Materials for LOT School 2023, "Language Learning: A Data-Driven Approach"☆14Aug 14, 2024Updated last year
- Principles & Practice of Data Visualization, CS631 Spring 2018☆39May 13, 2019Updated 6 years ago
- Tidy Survey Analysis in R using the srvyr Package: Short Course☆27May 2, 2022Updated 3 years ago
- ☆28Nov 3, 2025Updated 4 months ago
- Library of Stan Models for Survival Analysis☆124Jul 15, 2020Updated 5 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Dec 28, 2017Updated 8 years ago