Overview | Changes from v1.1.0 | Dependencies | MiRKAT: Microbiome Regression-Based Kernel Association Test | Example Dataset | Data Preparation | Create the UniFrac Distances | Convert Distance to Kernel Matrices | Testing Using a Single Kernel | Measures of Effect Size | Properties of Different Kernels | Testing Using Multiple Kernels | Testing with a Continuous Outcome Variable | MiRKAT-S: Survival Outcome | Simulate time to event data | MMiRKAT: Multivariate Continuous Outcome | KRV: High-Dimensional Structured Outcome | Create the Kernel Matrix of Simulated Data | Testing Using an Outcome Kernel Matrix | Testing with Multiple Kernels, Using the Covariate Option | Robust MiRKAT | MiRKAT.R: Continuous Outcomes with Robust Linear Regression | MiRKAT.Q: Continuous Outcomes with Quantile Regression | GLMM-MiRKAT: Longitudinal/Correlated Continuous, Binary, or Count Data (Generalized Linear Mixed Model) | Prepare the Data | Example 1. Gaussian traits (e.g., body mass index) | Example 2. Binomial traits (e.g., disease status, treatment/placebo) | Example 3. Poisson traits (e.g., number of tumors)