Effect Estimates from All Models
Fit GLM's with High-Dimensional k-Way Fixed Effects
Approximately Optimal Fine Balance Matching with Multiple Groups
Example Data Sets for Causal Inference Textbooks
Estimating Causal Dose Response Functions
Deriving Expressions of Joint Interventional Distributions and Transpo...
Estimation of Causal Effects with Generalized Additive Models
Statistical Learning Methods for Optimizing Dynamic Treatment Regimes
Inferring Causal Effects using Bayesian Structural Time-Series Models
MBSTS Models for Causal Inference and Forecasting
The Bayesian Causal Effect Estimation Algorithm
Clinical Trial Calculation Based on BCHM Design
Covariate Balancing Propensity Score
Biomarker Threshold Models
Mediation Analysis with Missing Data Using Bootstrap
Bayesian Optimal Block Designs
Estimate Causal Effects with Borrowing Between Data Sources
Profiling Compliers and Non-Compliers for Instrumental Variable Analys...
Selection Bias Approach to Sensitivity Analysis for Causal Effects
Coarsened Exact Matching
Causal Functional Mediation Analysis
Estimating and Testing Direct Effects in Directed Acyclic Graphs using...
AMCE Estimator for Conjoint Experiments
Composite Kernel Association Test for Pharmacogenetics Studies
DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learnin...
Interface to Diverse Estimation Methods of Causal Networks
Estimation and Inference Methods for Counterfactual Analysis
Graphical Analysis of Structural Causal Models
Matched Samples that are Balanced and Representative by Design
Directional Penalties for Optimal Matching in Observational Studies
Estimating Controlled Direct Effects for Explaining Causal Findings
Doubly-Robust Nonparametric Estimation and Inference
Conditional Sensitivity Analysis for Matched Observational Studies
Methods for Estimating Optimal Dynamic Treatment Regimes
Entropy Reweighting to Create Balanced Samples
Robust Analytical Methods for Evaluating Educational Interventions usi...
Prediction of Therapeutic Success
Endogenous Switching Regression Models
Fast Estimators for Design-Based Inference
Evaluating Individualized Treatment Rules
Sensitivity Analyses for Unmeasured Confounding and Other Biases in Ob...
R Package for Designing and Analyzing Randomized Experiments
Finding Heterogeneous Treatment Effects
Interpretable Matching for Causal Inference
Generalized Correlations, Causal Paths and Portfolio Selection
Methods for Graphical Models and Causal Inference
Longitudinal Targeted Maximum Likelihood Estimation
Generalized Random Forests
Granger Mediation Analysis
Generalized Synthetic Control Method
High-Dimensional Metrics
Fisherian and Neymanian Methods for Detecting and Measuring Treatment ...
Inverse Compliance Score Weighting
Inference in Randomized Controlled Trials with Death and Missingness
Methods for Causal Inference with Interference
Multiplicative Interaction Models Diagnostics and Visualization
Invariant Causal Prediction
Inverse Probability of Censoring Weights to Deal with Treatment Switch...
Simulation and Group Sequential Monitoring of Randomized Two-Stage Tre...
Local Average Response Functions for Instrumental Variable Estimation ...
Assessing the Numerical Feasibility for Conducting a Matching-Adjusted...
Multivariate and Propensity Score Matching with Balance Optimization
Nonparametric Preprocessing for Parametric Causal Inference
Flexible Mediation Analysis Using Natural Effect Models
Causal Mediation Analysis
Mendelian Randomization Package
Synthetic Control Methods with Micro- And Meso-Level Data
Two Sample Mendelian Randomization using Robust Adjusted Profile Score
PC Algorithm with the Principle of Mendelian Randomization
Causal Mediation Analysis in Multisite Trials
Causal Inference using Multivariate Generalized Propensity Score
Invariant Causal Prediction for Nonlinear Models
Functions for Optimal Matching
Targeted Stable Balancing Weights Using Optimization
Variable Selection for Optimal Treatment Decision
Causal Inference using Bayesian Additive Regression Trees
Collaborative Targeted Maximum Likelihood Estimation
2-Stage Preference Trial Design and Analysis
Rank Preserving Structural Failure Time Models
Regression-Based Causal Mediation Analysis with Interaction and Effect...
Toolkit for Weighting and Analysis of Nonequivalent Groups
Robust Data-Driven Statistical Inference in Regression-Discontinuity D...
Prediction Intervals for Synthetic Control Methods with Multiple Treat...
Identifiability of Linear Structural Equation Models
Synthetic Control Group Method for Comparative Case Studies
Quantile Treatment Effects
Twang Causal Mediation Modeling via Weighting
Detect Subgroup with an Enhanced Treatment Effect
Create 'Table 1' to Describe Baseline Characteristics with or without ...
Stratification and Matching for Large Observational Data Sets
Large, Sparse Optimal Matching with Refined Covariate Balance
Optimal Subset Matching with Refined Covariate Balance
Estimation and Inference Methods for Sorted Causal Effects and Classif...
Single-Index Models with Multiple-Links
Regression Standardization
Spillover Time Series Causal Inference
Toolkit for Weighting and Analysis of Nonequivalent Groups - Continuou...
Single-Index Models with a Surface-Link
Power Analysis for a SMART Design
Tools for Uplift Modeling
Sample Selection Models
Software for Evaluating Counterfactuals
Causal Inference of QTL Networks
Odds Ratio Estimation and Power Calculation for the Trend in Trend Mod...
Weighted, Two-Mode, and Longitudinal Networks Analysis
Uncertainty Intervals and Sensitivity Analysis for Missing Data
Quantile-Optimal Treatment Regimes with Censored Data
Algorithms for Quantile- And Mean-Optimal Treatment Regimes
Augmented Inverse Probability Weighting
Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Di...
Omitted Variable Tool
Covariate Balance Tables and Plots
Statistical Inference and Sensitivity Analysis for Instrumental Variab...
Treatment Effects with Multiple Periods and Groups
Matching-Adjusted Indirect Comparison
Counterfactual Decomposition: MC Integration of the G-Formula
Goodman-Bacon Decomposition
Propensity Score Weighting for Causal Inference with Observational Stu...
Nonparametric Bounds for the Average Causal Effect Due to Balke and Pe...
A Tidy Implementation of the Synthetic Control Method
Tools for Behavior Change Researchers and Professionals
Estimation and Validation Methods for Subgroup Identification and Pers...
Instrumental Variables: Extrapolation by Marginal Treatment Effects
An Imputation Approach to Estimating Path-Specific Causal Effects
Make, Update, and Query Binary Causal Models
Matching and Weighting Multiply Imputed Datasets
Linear Models for Panel Data
Parametric G-Formula
Risk Regression Models and Prediction Scores for Survival Analysis wit...
An Interface to Specify Causal Graphs and Compute Bounds on Causal Eff...
Matching on Generalized Propensity Scores with Continuous Exposures
Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Fast Fixed-Effects Estimations
Estimation of Model-Based Predictions, Contrasts and Means
Double Machine Learning in R
Matching Methods for Causal Inference with Time-Series Cross-Sectional...
Subpopulation Treatment Effect Pattern Plot (STEPP)
Targeted Maximum Likelihood Estimation
Non-Parametric Causal Effects of Feasible Interventions Based on Modif...
Causal Modeling with Coincidence Analysis
Causal Inference Test
Generalized Pairwise Comparisons
Optimal Multilevel Matching using a Network Algorithm
Stable Balancing Weights for Causal Inference and Missing Data
Causal Effect Identification from Multiple Incomplete Data Sources
Sensitivity Analysis Tools for Regression Models
Estimation Methods for Causal Inference Based on Inverse Probability W...
Marginal Effects for Model Objects
Weighting for Covariate Balance in Observational Studies
Average and Conditional Effects
Doubly Robust Difference-in-Differences Estimators