alexluedtke12 / pydimpleLinks
☆22Updated last year
Alternatives and similar repositories for pydimple
Users that are interested in pydimple are comparing it to the libraries listed below
Sorting:
- ☆96Updated 2 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 4 months ago
- R package cfcausal☆33Updated 3 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- Causal machine learning pipeline using tlverse/sl3☆13Updated 3 weeks ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆15Updated last week
- Simulating Longitudinal and Network Data with Causal Inference Applications☆69Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆15Updated last year
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 10 months ago
- Discrete Bayesian Additive Regression Trees Sampler☆61Updated 2 months ago
- Tools for automatically generating local sensitivity measures in Stan.☆36Updated 5 years ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 5 months ago
- Bayesian Causal Forests☆52Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆33Updated 10 months ago
- Delicatessen: the Python one-stop sandwich (variance) shop 🥪☆30Updated 3 weeks ago
- ☆33Updated 3 years ago
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆47Updated last month
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Updated 4 years ago
- Drawing graphical models for causal inference using LaTeX