VBayesLab / deepGLM
Train deepGLM with Matlab, R and Python
☆27Updated last year
Related projects ⓘ
Alternatives and complementary repositories for deepGLM
- Course material for the PhD course in Advanced Bayesian Learning☆56Updated 2 weeks ago
- R package cfcausal☆26Updated last year
- ☆31Updated 2 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆19Updated last year
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆24Updated 2 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆58Updated 4 years ago
- ☆42Updated 3 years ago
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆45Updated 2 months ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆45Updated 4 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆25Updated 5 years ago
- CausalFX R Package☆13Updated 9 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆35Updated 3 years ago
- ☆14Updated 4 years ago
- Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for …☆14Updated last year
- Nonlinear time series analysis in R☆35Updated last month
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆15Updated last month
- Bayesian Inference of State Space Models☆41Updated 2 months ago
- Rlgt is an R package for Bayesian Exponential Smoothing☆20Updated 4 months ago
- Full Bayesian Inference for Hidden Markov Models☆40Updated 5 years ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆16Updated 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.☆30Updated 6 years ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated 2 months ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 3 years ago
- ☆26Updated last month
- R & Stan code associated with my "Bayes Days" workshop☆14Updated 8 years ago
- Source files for the book "Bayesian Workflow Using Stan"☆91Updated 3 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆23Updated 2 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆15Updated 4 years ago
- ☆31Updated 2 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆28Updated 4 years ago