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Search results for r causal inference
causal-inference
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77 search results found
Causalimpact
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1,484
An R package for causal inference in time series
Ggdag
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424
↙️ ↘️ An R package for working with causal directed acyclic graphs (DAGs)
Weightit
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89
WeightIt: an R package for propensity score weighting
Doubleml For R
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88
DoubleML - Double Machine Learning in R
Policytree
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67
Policy learning via doubly robust empirical welfare maximization over trees
Cobalt
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65
Covariate Balance Tables and Plots - An R package for assessing covariate balance
Bartcause
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60
Causal Inference using Bayesian Additive Regression Trees
Varimpact
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54
Variable importance through targeted causal inference, with Alan Hubbard
Lmtp
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47
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
Fect
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42
fixed effect counterfactual estimators
Evalf22.classes.andrewheiss.com
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41
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
Tmle3
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33
🎯🎓 Generalized Targeted Learning Framework
Mixtape
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32
Data for Causal Inference: The Mixtape by Scott Cunningham
Rforestry
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29
Vltimeseriescausality
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27
A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
Bayesian Multivariate Time Series Causal Inference
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26
R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
Personalized
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24
Methods for subgroup identification / personalized medicine / individualized treatment rules
Npci
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24
Non-parametrics for Causal Inference
Causaltoolbox
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23
Causaleffect
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23
causaleffect: R package for identifying causal effects.
Regmedint
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23
R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis
Psci 3300 Political Science Research
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23
Course Content for PSCI 3300 Political Science Research Methods
Gpsmatching
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21
R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects using observational data in settings with continuous exposures, and a new framework for GPS caliper matching that jointly matches on both the estimated GPS and exposure levels to fully adjust for confounding bias.
Thinkcausal_dev
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21
Point-and-click bartCause analysis and causal inference education
Causal Mediation Analysis For Ab Tests
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20
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
Evalsp20.classes.andrewheiss.com
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17
🎓 GSU MPA/MPP course on program evaluation and causal inference
Aipw
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17
R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
Evalsp23.classes.andrewheiss.com
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17
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
Drtmle
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17
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
Steroids Trial Emulation
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17
Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially Doubly Robust estimation (Hoffman et al. 2022).
Causalimages Software
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15
causalimages: An R package for performing causal inference with image and image sequence data with a JAX backend
Causal Inference For Data Scientists
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15
Notebooks of Python and R code which illustrates basic causal inference using simulated data
National_causal
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15
Public Available Code to Conduct Analyses in "Evaluating the Impact of Long-term Exposure to Fine Particulate Matter on Mortality Among the Elderly."
Medflex
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14
Flexible mediation analysis using natural effect models in R
Causal Bayes
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13
A paper about causal inference with Bayesian modeling
Txshift
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12
📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
Causalinference
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12
CRAN Task View: Causal Inference
Bcf Iv
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12
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
Epigraphdb R
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12
R package for epigraphdb
Lmtp Tutorial
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11
Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)
Overview_causal_inference
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11
A Brief Overview of Causal Inference (xaringan presentation)
Haldensify
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11
📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
Bwmr
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11
BWMR (Bayesian Weighted Mendelian Randomization)
Causalglm
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11
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
Tmle3shift
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11
🎯 🎲 Targeted Learning of the Causal Effects of Stochastic Interventions
Cci
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10
Cyclic Causal Inference
Medoutcon
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10
📦 R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
Causalhal
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9
Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
Dom_adapt
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9
Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"
Hete
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9
Heterogeneous Treatment Effects
Medltmle
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8
R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data
Atlantic Causal 2017
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8
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
Rcit
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8
The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)
Targeted
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8
Targeted inference (R package) https://kkholst.github.io/targeted/
Metalearners
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7
The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.
Maq
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7
Qini curves for multi-armed treatment rules
Trialemulation
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7
Adjrct
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7
Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions 💊
Simmixeddag
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7
The simMixedDAG package enables simulation of "real life" datasets from DAGs
Tmle3mopttx
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7
🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
Mr_bacon
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7
Mendelian Randomization with Biomarker Associations for Causality with Outcomes
Medshift
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6
📦 🎲 R/medshift: Causal Mediation Analysis for Stochastic Interventions
Fastdr
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6
R package for fast and easy doubly robust estimation of treatments effects
Survlearners
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6
Metalearners for Survival Data
Optic
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6
optic: Simulation Tool for Causal Inference Using Longitudinal Data
Cfid
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6
cfid: R package for identifying counterfactuals.
Pgf
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5
pgf: R implementation of the parametric g-formula
Tstmle3
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5
Estimation and Inference for Context-Specific Causal Average Treatment Effect and Optimal Individualized Treatment Effect with Single Time Series
Ctmle
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5
Collaborative Targeted Maximum Likelihood Estimation
Shapflex
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5
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Optweight
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5
R package for estimating balancing weights using optimization
Tmlecommunity
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5
Targeted Maximum Likelihood Estimation for Hierarchical Data
Dosearch
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5
dosearch: R Package for Identifying General Causal Queries
Flame
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5
R package for matching algorithm in causal inference
Rnns Causal
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5
Replication code for "RNN-based counterfactual prediction, with an application to homestead policy and public schooling"
Dml.sensemakr
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5
Sensitivity analysis tools for causal ML
Networkcausaltree
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5
Package for heterogeneous treatment and spillover effects under network interference
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