Bayesian Generalized Linear Models with Time-Varying Coefficients
☆46Aug 29, 2024Updated last year
Alternatives and similar repositories for walker
Users that are interested in walker are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Examples on INLA within MCMC☆12May 15, 2017Updated 9 years ago
- A tool for comparing the design and analysis of surveys by simulating spatially-correlated populations☆13Sep 16, 2025Updated 10 months 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
- R package to estimate time-varying coefficient regressions☆21Mar 11, 2026Updated 4 months ago
- ☆26Aug 11, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆57Mar 25, 2019Updated 7 years ago
- Stan models for state space time series☆147Jul 3, 2017Updated 9 years ago
- Bayesian Inference of State Space Models☆49May 13, 2026Updated 2 months ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆116Updated this week
- KFAS: R Package for Exponential Family State Space Models☆73May 25, 2025Updated last year
- A WW2 Infographic that displays the Luftwaffe locations and losses throughout the war☆10Mar 26, 2024Updated 2 years ago
- A bit like 'stats::optim', but with torch☆10Apr 2, 2021Updated 5 years ago
- Various mgcv-related GAM utilities☆11Apr 22, 2026Updated 2 months ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆49May 26, 2018Updated 8 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Full Bayesian Inference for Hidden Markov Models☆43Jan 14, 2019Updated 7 years ago
- Trend filtering☆15Aug 21, 2024Updated last year
- Time Series Analysis for the State-Space Model with R/Stan☆24Oct 10, 2021Updated 4 years ago
- Content for the NUMBAT workshop on gganimate (22/3/19)☆13Jun 15, 2019Updated 7 years ago
- Bayesian Regression with INLA☆53Apr 3, 2023Updated 3 years ago
- Bayesian calibration of Building Energy Models using Stan modeling language☆21Jan 9, 2020Updated 6 years ago
- [PROTOTYPE] R package: marshal - Framework to Marshal Objects to be Used in Another R Processes☆15Apr 19, 2025Updated last year
- Methods for estimating joint distributions assisted with survey data☆12May 16, 2023Updated 3 years ago
- Forecast Combination in R☆28Aug 3, 2018Updated 7 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…☆16Aug 2, 2017Updated 8 years ago
- Solves and simulates the Hugget JECD (1993) Economy☆12Nov 29, 2021Updated 4 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆38Dec 2, 2020Updated 5 years ago
- The code for network autoregression model (NAR)☆10May 12, 2016Updated 10 years ago
- Tidymodels for Nested/Panel Data☆13Sep 30, 2023Updated 2 years ago
- HTTP interface to Stan, a package for Bayesian inference.☆42Feb 6, 2025Updated last year
- A Tidy Interface for Simulating Multivariate Data☆12Aug 27, 2023Updated 2 years ago
- Automate Scaffolding R Interfaces to Packages in Other Programming Languages☆28Jul 7, 2023Updated 3 years ago
- Contemporary statistical inference for infectious disease models using Stan☆16Mar 3, 2019Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Time series with torch☆13Jun 18, 2022Updated 4 years ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆28Oct 30, 2025Updated 8 months ago
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆48Updated this week
- List comprehensions in R☆20May 6, 2023Updated 3 years ago
- Statically import R functions into packages and projects☆57Jan 10, 2024Updated 2 years ago
- tidymodels extension package: binding specialty kernels & support vector machines to {parsnip}, {recipes}, and more!☆12Jul 13, 2025Updated last year
- Little R utility package for making time series data more machine learning-friendly☆49Mar 6, 2020Updated 6 years ago