arnaldpuy/pawnr: Computation of PAWN Sensitivity Indices

It computes PAWN sensitivity indices following the approach described in Pianosi and Wagener 2015 <10.1016/j.envsoft.2015.01.004> and Pianosi and Wagener 2018 <10.1016/j.envsoft.2018.07.019>. The 'pawnr' package also implements the algorithm by Khorashadi Zadeh et al. 2017 <doi:10.1016/j.envsoft.2017.02.001 > to calculate the approximation error in the computation of PAWN indices, an approach that allows to robustly screen influential from non-influential model inputs. Finally, it also provides functions to obtain publication-quality figures of the model output uncertainty and sensitivity-related analysis.

install.packages("remotes")
remotes::install_github("arnaldpuy/pawnr")