Integrate the sensitivity analysis benchmark cases from R's sensitivity

[mbaudin47]

In the R package "sensitivity" (which doc is available through this link), the following cases are available:

These functions are standard testcases for sensitivity analysis benchmarks. For a scalar output (see
Saltelli et al. 2000 and https://www.sfu.ca/~ssurjano/):
• the g-function of Sobol’ with 8 inputs, X ~ U[0,1];
• the function of Ishigami with 3 inputs, X ~ U[-pi,pi];
• the function of Morris with 20 inputs, X ~ U[0,1];
• the Linkletter decreasing coefficients function, X ~ U[0,1] (Linkletter et al. (2006));
• the heterdisc function with 4 inputs, X ~ U[0,20];
• the Friedman function with 5 inputs, X ~ U[0,1] (Friedman, 1991);
• the Matyas function with 2 inputs, X ~ U[0,1].

For functional output cases:
• the Arctangent temporal function with 2 inputs, X ~ U[-7,7] (Auder, 2011). The functional support is on [0,2pi];
• the Cambell1D function with 4 inputs, X ~U[-1,5] (Campbell et al. 2006). The functional support is on [-90,90].