About


About the code

PermutationTests.jl includes seven code units (.jl files):

UnitDescription
PermutationTests.jlMain module, declaration of constants, types and structuress
stats.jlLow-level computations for statistics and test-statistic
tools.jlGeneral tools
uniTests.jlUnivariate tests
uniTests_API.jlAPI for univariate tests
multcompTests.jlMultiple comparisons tests
multcompTests_API.jlAPI for multiple comparisons tests

In addition, units for running benchmarks, error control tests and power analysis can be found in the src\extras folder.

A unit to test the main functions is available as well in the test folder.


About the authors

Marco Congedo, corresponding author and developer of the package, is a Research Director of CNRS (Centre National de la Recherche Scientifique), working at UGA (University of Grenoble Alpes, France). Contact: first name dot last name at gmail dot com

Livio Finos, is Full professor at the Department of Statistical Sciences of Univerità di Padova, Italy. Contact: first name dot last name at unipd dot it


Disclaimer

This version has been roughly tested. Independent reviewers for both the code and the documentation are welcome.


TroubleShoothing

ProblemSolution
Folds.jl does not work properly for future versions of juliause keyword argument threaded=false for multiple comparison tests

Other relevant packages


References

R.A. Fisher (1935) The Design of Experiments, Hafner.

E.S. Edgington (1995), Randomization Tests, Marcel Dekker Inc.

A.P. Holmes, R.C. Blair, J.D.G Watson, I. Ford (1996) Non-Parametric Analysis of Statistic Images From Functional Mapping Experiments. Journal of Cerebral Blood Flow and Metabolism 16:7-22.

F. Pesarin (2001) Multivariate Permutation Tests with applications in Biostatistics. John Wiley & Sons.

E. J. G. Pitman (1937) Significance tests which may be applied to samples from any population, Royal Statistical Society Supplement, 4: 119-130 and 225-32 (parts I and II).

E. J. G. Pitman (1938) Significance tests which may be applied to samples from any population. Part III. The analysis of variance test. Biometrika. 29 (3–4): 322–335.

P.H. Westfall, S.S. Young (1993) Resampling-Based Multiple Testing: Examples and Methods for P-Value Adjustment, John Wiley & Sons.

A.M. Winkler, M.A. Webster, J.C. Brooks, et al. (2016) Non-parametric combination and related permutation tests for neuroimaging. Human Brain Mapping, 37(4):1486-511.


Contents


Index