RuBBiT-hj / causalBETA
Development for Bayesian Survival Models Package
☆16Updated last month
Alternatives and similar repositories for causalBETA:
Users that are interested in causalBETA are comparing it to the libraries listed below
- ☆21Updated 2 months ago
- ☆16Updated 3 years ago
- CRAN Task View: Causal Inference☆17Updated 11 months ago
- An R-Package to Simulate Simple and Complex (longitudinal) Data from a DAG and Associated Node Information☆11Updated this week
- Publicly available code from my publications☆11Updated 3 weeks ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last month
- lmw: Linear Model Weights☆11Updated last year
- Bayesian Inference of Complex Panel Data☆29Updated this week
- Introduction to simulation of randomized controlled trials in R☆25Updated 2 years ago
- Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science☆18Updated 2 years ago
- Bayesian methods in health economics in Stan (Florence course)☆9Updated 5 years ago
- Source and slides for "Why you should be using tidymodels" at UW-Madison☆18Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- ☆18Updated 2 years ago
- Error Handling Made Easy☆27Updated 5 months ago
- Bayesian multi-state models for the analysis of oncology trials☆8Updated last year
- Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.☆12Updated 3 years ago
- Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying c…☆22Updated last year
- An R-Package to Visualize the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome☆12Updated last year
- Survival modelling via ODEs☆10Updated last week
- Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction☆32Updated 6 months ago
- R package to implement nonlinear, interaction models with variable selection☆10Updated 4 years ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated last month
- An R package for conducting sensitivity analyses for unmeasured confounders☆36Updated last year
- Longitudinal Mediation with Modified Treatment Policies☆12Updated last year
- Course Notes for PSYC 621 (Bayesian Data Analaysis, 2019 Fall)☆15Updated 4 years ago
- Trials and tribulations of redoing KHstats website in Quarto.☆9Updated 7 months ago
- ☆13Updated 5 months ago
- Install Workshop Materials for Causal Inference in R☆20Updated 7 months ago
- ☆19Updated last year