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Getting Started

  • Installation
    • Basic Installation
    • Optional Dependencies
    • Development Installation
  • Quick Start
    • Python API
    • Effect Sizes
    • Power Analysis
    • Multiple Comparison Correction
    • Post-hoc Tests
    • CLI
    • MCP Server

User Guide

  • Choosing the Right Test
    • Decision Flowchart
    • Step 1: What Type of Data?
    • Step 2: How Many Groups?
    • Step 3: Check Assumptions
    • Automatic Recommendation
    • Correlation Tests
    • Categorical Tests
  • Unified Output Format
    • Result Dictionary
    • Key Fields
    • Null Hypotheses
    • Significance Stars
    • Working with Results
  • CLI Reference
    • Overview
    • Core Commands
    • MCP Subcommands
  • MCP Server
    • Installation
    • Starting the Server
    • MCP Client Configuration
    • Available Tools
    • Diagnostics

API Reference

  • API Reference
    • Functionalities
    • IO
    • Dependencies
    • run_test()
    • available_tests()
    • describe()
    • to_json_safe()
    • StatContext
      • StatContext.n_groups
      • StatContext.sample_sizes
      • StatContext.outcome_type
      • StatContext.design
      • StatContext.paired
      • StatContext.has_control_group
      • StatContext.n_factors
      • StatContext.normality_ok
      • StatContext.variance_homogeneity_ok
      • StatContext.missing_allowed
      • StatContext.group_names
      • StatContext.control_group_name
      • StatContext.__post_init__()
      • StatContext.n_total
      • StatContext.min_n_per_group
      • StatContext.effective_paired
      • StatContext.to_dict()
      • StatContext.from_dict()
      • StatContext.from_data()
      • StatContext.__init__()
    • TestRule
      • TestRule.name
      • TestRule.family
      • TestRule.min_groups
      • TestRule.max_groups
      • TestRule.outcome_types
      • TestRule.supports_paired
      • TestRule.supports_unpaired
      • TestRule.design_allowed
      • TestRule.requires_control_group
      • TestRule.min_n_total
      • TestRule.min_n_per_group
      • TestRule.needs_normality
      • TestRule.needs_equal_variance
      • TestRule.min_factors
      • TestRule.max_factors
      • TestRule.priority
      • TestRule.description
      • TestRule.__init__()
    • StatStyle
      • StatStyle.id
      • StatStyle.label
      • StatStyle.target
      • StatStyle.stat_symbol_format
      • StatStyle.p_format
      • StatStyle.alpha_thresholds
      • StatStyle.effect_label_format
      • StatStyle.n_format
      • StatStyle.decimal_places_p
      • StatStyle.decimal_places_stat
      • StatStyle.decimal_places_effect
      • StatStyle.format_stat()
      • StatStyle.format_p()
      • StatStyle.format_effect()
      • StatStyle.format_n()
      • StatStyle.p_to_stars()
      • StatStyle.__init__()
    • recommend_tests()
    • check_applicable()
    • get_stat_style()
    • p_to_stars()
    • test_ttest_ind()
    • test_ttest_rel()
    • test_ttest_1samp()
    • test_anova()
    • test_anova_rm()
    • test_anova_2way()
    • test_brunner_munzel()
    • test_wilcoxon()
    • test_kruskal()
    • test_mannwhitneyu()
    • test_friedman()
    • test_pearson()
    • test_spearman()
    • test_kendall()
    • test_theilsen()
    • test_chi2()
    • test_fisher()
    • test_mcnemar()
    • test_cochran_q()
    • test_shapiro()
    • test_normality()
    • test_ks_1samp()
    • test_ks_2samp()

Examples

  • Examples
    • Example 1 — Basic t-test
    • Example 2 — Automatic test recommendation
    • Example 3 — Multiple comparison correction
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