☆97Jan 4, 2024Updated 2 years ago
Alternatives and similar repositories for npcausal
Users that are interested in npcausal are comparing it to the libraries listed below
Sorting:
- ☆10Nov 30, 2022Updated 3 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Jan 4, 2023Updated 3 years ago
- ☆22Jun 12, 2024Updated last year
- Causal machine learning pipeline using tlverse/sl3☆13Dec 21, 2025Updated 2 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Sep 6, 2025Updated 6 months ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Jan 11, 2022Updated 4 years ago
- R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data☆14Aug 6, 2022Updated 3 years ago
- Jackknife Instrumental Variables Estimation☆14Apr 21, 2025Updated 10 months ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆121Apr 10, 2021Updated 4 years ago
- An R package for implementing the method in Mogstad, Santos, and Torgovitsky (2018, Econometrica).☆19Aug 27, 2024Updated last year
- Estimation for sharp regression discontinuity designs.☆20May 22, 2024Updated last year
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆15Jan 8, 2026Updated last month
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆28Apr 5, 2025Updated 11 months ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Nov 21, 2024Updated last year
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Apr 7, 2022Updated 3 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆81Jan 20, 2026Updated last month
- WeightIt: an R package for propensity score weighting☆124Feb 19, 2026Updated 2 weeks ago
- ☆48Jan 20, 2023Updated 3 years ago
- A suite of functions for reproducible causal mediation analyses☆71Feb 17, 2025Updated last year
- Super learner fitting and prediction using mlr3☆11Feb 20, 2025Updated last year
- R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling☆13Sep 21, 2024Updated last year
- Diagnostics for confounding of time-varying and other joint exposures☆11Dec 12, 2022Updated 3 years ago
- Robust inference in difference-in-differences and event study designs☆223Feb 27, 2025Updated last year
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆32Feb 25, 2026Updated last week
- Augmented Synthetic Control Method☆165Jan 31, 2025Updated last year
- Longitudinal Mediation with Modified Treatment Policies☆12Sep 26, 2025Updated 5 months ago
- Inference in instrumental variables models robust to many instruments☆13Jun 17, 2025Updated 8 months ago
- Defensive Programming For Social Scientists Workshop Materials☆10Jan 30, 2018Updated 8 years ago
- Drawing graphical models for causal inference using LaTeX☆119May 5, 2023Updated 2 years ago
- Replications data and code for "LaLonde (1986) after Nearly Four Decades: Lessons Learned"☆33Jun 14, 2024Updated last year
- Generic functions for treatment effects with panel data☆12Jan 10, 2025Updated last year
- Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.☆15Dec 9, 2024Updated last year
- ☆28Mar 30, 2024Updated last year
- ☆16Jan 26, 2025Updated last year
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Jun 26, 2025Updated 8 months ago
- Replication code for "Log with zeros? Some problems and solutions"☆13Jun 10, 2024Updated last year
- Generalized Random Forests☆1,072Feb 19, 2026Updated 2 weeks ago
- Causal Inference using Bayesian Additive Regression Trees☆87Jul 30, 2025Updated 7 months ago
- The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…☆183Nov 3, 2025Updated 4 months ago