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MCPower
MCPower
v0.6.1
Monte Carlo power analysis for complex statistical models
by Paweł Lenartowicz
About the author Support this project

Getting Started

  • Installation
  • Quick Start
  • FAQ
  • Tutorials
    • Tutorial: Your First Power Analysis
    • Tutorial: Finding the Right Sample Size
    • Tutorial: Testing Interactions
    • Tutorial: Correlated Predictors
    • Tutorial: Power Analysis with Your Own Data
    • Tutorial: Preparing Your CSV for MCPower
    • Tutorial: ANOVA & Post-Hoc Pairwise Comparisons
    • Tutorial: Controlling for Multiple Testing
    • Tutorial: Random Intercepts for Clustered Data
    • Tutorial: Random Slopes
    • Tutorial: Nested Random Effects
    • Tutorial: Using test_formula
    • Tutorial: Using Custom Scenarios
  • Concepts
    • Effect Sizes
    • Variable Types
    • Correlations
    • Scenario Analysis
    • Mixed-Effects Models
    • Performance
  • API Reference
    • MCPower() Constructor
    • Power Analysis
    • Configuration
    • Data & Clustering
    • Scenario Analysis
    • Correction Methods
    • Progress Reporting
    • Return Values

Other

  • Model Specification
  • Limitations
  • How It Is Validated
  • LME Validation (vs R’s lme4)
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Concepts¶

Background knowledge for understanding MCPower’s approach to power analysis.

  • Effect Sizes
  • Variable Types
  • Correlations
  • Scenario Analysis
  • Mixed-Effects Models
  • Performance
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Effect Sizes
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Tutorial: Using Custom Scenarios
Copyright © 2025–2026, Paweł Lenartowicz. Licensed under GPL-3.0.