stablemarkets / ChiRPLinks
Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.
☆12Updated 3 years ago
Alternatives and similar repositories for ChiRP
Users that are interested in ChiRP are comparing it to the libraries listed below
Sorting:
- Gamma lasso regression☆23Updated 2 years ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 3 years ago
- Survival modelling via ODEs☆10Updated 3 months ago
- Fast, tidy functions for mcmc diagnostics and summaries, built with data.table☆22Updated last month
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- R packages for Bayesian Nonparametrics☆16Updated this week
- Preceptor's Primer for Bayesian Data Science☆22Updated 2 weeks ago
- Bayesian Inference of Complex Panel Data☆33Updated last week
- R package to allow tidybayes to work with the rethinking package☆26Updated last year
- Longitudinal Mediation with Modified Treatment Policies☆12Updated last month
- Tidy methods for Bayesian treatment effect models☆16Updated 5 months ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 2 years ago
- Regression Modeling Strategies Bayesian☆16Updated 2 months ago
- Implementation of the Tower Method, a novel approach to handling missing values.☆12Updated last year
- ☆20Updated 6 years ago
- statistical models to analyze diagnostic tests☆15Updated 4 years ago
- Sample size for external validation of a logistic regression based prediction model☆12Updated 3 years ago
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆26Updated 2 months ago
- How to use EconML within R☆12Updated 5 years ago
- Materials for the MOSAIC "Teaching Statistics with R and RStudio"☆23Updated 7 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆25Updated 3 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 4 months ago
- The "Hidden Curriculum" assignment from UT Austin's Masters Causal Inference course, Spring 2022.☆11Updated 3 years ago
- ☆8Updated 4 years ago
- Case studies in applied and computational statistics.☆38Updated last month
- Utility provides a more meaningful measure of forecast skill than goodness-of-fit☆18Updated 3 years ago
- Material for my proposed StanCon talk☆20Updated 4 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆36Updated 4 years ago
- Iterate multiple realisations of stochastic models☆19Updated 3 months ago
- Functions for Hierarchical Bayesian Estimation: A Flexible Approach☆26Updated 5 years ago