add raw string annotation

KSRank is stochastic and slight variations in the outcome measures are possible. New tests check whether parameters are correctly identified as sensitive.

Make tests less sensitive to random variability in the sensitivity criterion. Also indicate the random variability influence in the documentation.

Use JuliaFormatter

Add more detailed explanation of f(Y) function signature, and fix typos in math.

Add description of returned KSRankResult struct

Add @doc signature

Change math $ into ``

Use correct link

Renamed KS_Rank to RSA in line with how the method is known in literature.

fix compatibility issues with SortingAlgorithms.jl

Bump lower bound of StatsBase to 0.33.7

Modify default argument of n_dummy_parameters to 10

…ivity.jl

Add mutual information sensitivity analysis method from Lüdtke, N., Panzeri, S., Brown, M., Broomhead, D. S., Knowles, J., Montemurro, M. A., & Kell, D. B. (2007). Information-theoretic sensitivity analysis: a general method for credit assignment in complex networks. Journal of The Royal Society Interface, 5(19), 223–235. https://doi.org/10.1098/RSIF.2007.1079

As `ComplexityMeasures` is being maintained, choose this dependency instead of `InformationMeasures` which has not been updated in 4 years.

Co-authored-by: George Datseris <[email protected]>

…ivity.jl

Update docstring to include additional detail about the discretization entropy.

Also apply formatter and update readme

Second order and total order give some weird results. For now, I've implemented a very basic version of the first order sensitivities using mutual information. The outcomes also correspond to the sobol first order outcomes.