Tools to design experiments, compute Sobol sensitivity indices,
    and summarise stochastic responses inspired by the strategy described by
    Zhu and Sudret (2021) <doi:10.1016/j.ress.2021.107815>. Includes helpers
    to optimise toy models implemented in C++, visualise indices with
    uncertainty quantification, and derive reliability-oriented sensitivity
    measures based on failure probabilities.
    It is further detailed in Logosha, Maumy and Bertrand (2022) 
    <doi:10.1063/5.0246026> and (2023) <doi:10.1063/5.0246024> or in Bertrand, 
    Logosha and Maumy (2024) <https://hal.science/hal-05371803>, 
    <https://hal.science/hal-05371795> and <https://hal.science/hal-05371798>.

Algorithm to estimate the Sobol indices using a non-parametric fit of the regression curve. The bandwidth is estimated using bootstrap to reduce the finite-sample bias. The package is based on the paper Solís, M. (2018) <arXiv:1803.03333>.

Specific and class specific multiple correspondence analysis on
    survey-like data. Soc.ca is optimized to the needs of the social scientist and
    presents easily interpretable results in near publication ready quality.

Functions for evaluating tournament predictions, simulating results from individual soccer matches and tournaments. See <http://sandsynligvis.dk/2018/08/03/world-cup-prediction-winners/> for more information.

A set of functions to quantify and visualise 
    social autocorrelation.

Tools developed to facilitate the establishment of the rank and social hierarchy 
             for gregarious animals by the Si method developed by 
             Kondo & Hurnik (1990)<doi:10.1016/0168-1591(90)90125-W>. It is
             also possible to determine the number of agonistic interactions between two 
             individuals, sociometric and dyadics matrix from dataset obtained through 
             electronic bins. In addition, it is possible plotting the results using a bar plot, box plot, and sociogram.

Provides methods for sampling contact matrices from diary
    data for use in infectious disease modelling, as discussed in Mossong
    et al. (2008) <doi:10.1371/journal.pmed.0050074>.