Post-Estimation Functions for Generalized Linear Mixed Models

Create Catseye Plots Illustrating the Normal Distribution of the
Means

Binary and Categorical Image Similarity Index

Computerized Adaptive Testing for Survey Research

Computation of the p-Value for the Exact Conditional
Cochran-Armitage Trend Test
R package CATTexact version 0.1.1

Robust Principal Component Analysis Using the Cauchy
Distribution

Trait Evolution on Phylogenies Using the Cauchy Process

Fast, Easy, and Visual Bayesian Inference

Nonparametric and Cox-Based Estimation of Average Treatment
Effects in Competing Risks
R package causalCmprsk version 2.0.0

Example Data Sets for Causal Inference Textbooks

Tools for Causal Discovery on Observational Data

Estimating Causal Dose Response Functions

Deriving Expressions of Joint Interventional Distributions and
Transport Formulas in Causal Models
R package causaleffect version 1.3.15

Estimation of Causal Effects with Generalized Additive Models

Matching on Generalized Propensity Scores with Continuous
Exposures

R package causalHyperGraph version 0.1.0

Inferring Causal Effects using Bayesian Structural Time-Series
Models

MBSTS Models for Causal Inference and Forecasting

Causal Inference Modeling for Estimation of Causal Effects

Directed Causal Network Enumeration and Simulation

An Interface to Specify Causal Graphs and Compute Bounds on
Causal Effects

Optimal Transport Weights for Causal Inference

Causal Effect for Population Attributable Fractions (PAF)

Causal Inference for Qualitative Outcomes

Make, Update, and Query Binary Causal Models

Selection Bias Approach to Sensitivity Analysis for Causal
Effects

Semiparametric Least Squares Inference for Causal Effects

Estimation Methods for Causal Inference Based on Inverse
Probability Weighting and Doubly Robust Estimation
R package causalweight version 1.1.4

Calculate Correlations and Estimate Causality

Perform Causal Sensitivity Analyses Using Various Statistical
Methods

Control Charts with Guaranteed In-Control Performance and
Cautious Parameters Learning
R package CautiousLearning version 1.0.1