mgcpy
v0.4.0
  • Install
    • Install the released version
    • Install from Github
    • Setting up the development environment
    • Python package dependencies
    • Hardware requirements
    • OS Requirements
    • Testing
  • Reference
    • Independence Tests
      • Multiscale Graph Correlation (MGC)
      • MGC Time Series
      • Biased and Unbiased Distance Correlation (Dcorr) and Mantel
      • Dcorr Time Series
      • Heller Heller Gorfine (HHG)
      • Kendall and Spearman
      • Multivariate Distance Matrix Regression (MDMR)
      • Pearson's Correlation, RV, Canonical Analysis (CCA)
    • Hypothesis Tests
      • Unpaired k-Sample Transform
    • Benchmarks
      • Simulations
      • Power Computations
  • Tutorial
    • Independence Tests
      • Multiscale Graph Correlation (MGC)
      • Unbiased and Biased Distance Correlation (Dcorr)
      • Mantel
      • Heller, Heller, Gorfine (HHG)
      • Kendall’s \(\tau\)
      • Spearman’s \(\rho\)
      • Pearson’s Product-Moment Correlation
      • RV
      • Canonical Correlation Analysis (CCA)
      • MGC-X and DCorr-X: Independence Testing for Time Series
    • Hypothesis Tests
      • \(k\)-Sample Test
    • Benchmarks
      • Simulations
      • Power
  • License

Useful Links

  • mgcpy @ GitHub
  • mgcpy @ PyPI
  • Issue Tracker
mgcpy
  • Docs »
  • Overview: module code

All modules for which code is available

  • mgcpy.benchmarks.power
  • mgcpy.benchmarks.simulations
  • mgcpy.hypothesis_tests.transforms
  • mgcpy.independence_tests.abstract_class
  • mgcpy.independence_tests.dcorr
  • mgcpy.independence_tests.dcorrx
  • mgcpy.independence_tests.hhg
  • mgcpy.independence_tests.kendall_spearman
  • mgcpy.independence_tests.mdmr
  • mgcpy.independence_tests.mgc
  • mgcpy.independence_tests.mgcx
  • mgcpy.independence_tests.rv_corr

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