migariane / TutorialComputationalCausalInferenceEstimatorsLinks
Tutorial_Computational_Causal_Inference_Estimators
☆36Updated 3 years ago
Alternatives and similar repositories for TutorialComputationalCausalInferenceEstimators
Users that are interested in TutorialComputationalCausalInferenceEstimators are comparing it to the libraries listed below
Sorting:
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 4 years ago
- Publicly available code from my publications☆13Updated 3 weeks ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆66Updated this week
- CRAN Task View: Causal Inference☆17Updated last year
- WeightIt: an R package for propensity score weighting☆112Updated last month
- ☆43Updated 2 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 6 months ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆76Updated last week
- ☆40Updated 3 years ago
- R package mediation☆65Updated 2 years ago
- Causal machine learning pipeline using tlverse/sl3☆12Updated last year
- Causal Inference: What If. R and Stata code for Exercises☆90Updated last month
- A suite of functions for reproducible causal mediation analyses☆58Updated 3 months ago
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆49Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 3 months ago
- Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying c…☆23Updated 2 years ago
- R package that simulates data suitable for fitting Marginal Structural Model.☆12Updated 2 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 7 months ago
- causalweight: An R Package for Causal Inference and Mediation Analysis☆12Updated 6 years ago
- ☆21Updated 4 months ago
- 2SLS Regression with Diagnostics in R☆21Updated 4 months ago
- This the repository for the Spring Causal Inference Course☆44Updated 5 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆16Updated 4 years ago
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆13Updated 5 months ago
- Programming accompaniment to a graduate course on longitudinal modeling (PSYC-564) at the University of Victoria☆20Updated 7 years ago
- lmw: Linear Model Weights☆11Updated last year
- R package DIDdesign: Analyzing Difference-in-Differences Design☆38Updated last year
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- Sensitivity analysis tools for causal ML☆17Updated 2 weeks ago