Multivariate Test Analyzer MCP Connector for Claude
A+Perform 2k factorial analysis to identify optimal element combinations and interaction effects in multivariate experiments.
The Multivariate Test Analyzer is a statistical engine designed for simplified 2k Factorial Design of Experiments (DOE). It allows AI agents to analyze complex multivariate tests by evaluating how different elements (factors) and their variants impact conversion rates. By using tools like calculate_main_effects, analyze_interaction_effects, and identify_winning_combination, you can isolate the direct impact of individual elements, detect dependencies between pairs of factors, and pinpoint the statistically optimal configuration for your experiments.
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