'multisensi' is an R package to perform sensitivity analysis on a model with multivariate output. The methodology is described and illustrated in the following two papers. If you are using 'multisensi' for research, please acknowledge at least one of them in your publications:

Matieyendou Lamboni, David Makowski, Simon Lehuger, Benoit Gabrielle and Hervé Monod (2009). Multivariate global sensitivity analysis for dynamic crop models. Field Crops Research, 113, 312-320.

Matieyendou Lamboni, Hervé Monod, and David Makowski (2011). Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models. Reliability Engineering and System Safety, 96, 450-459.

Bidot C, Lamboni M and Monod H (2017). multisensi: Multivariate Sensitivity Analysis. R package version 2.1, https://CRAN.R-project.org/package=multisensi.

Corresponding BibTeX entries:

  @Article{,
    author = {Matieyendou Lamboni and David Makowski and Simon Lehuger
      and Benoit Gabrielle and Hervé Monod},
    title = {Multivariate global sensitivity analysis for dynamic crop
      models},
    journal = {Field Crops Research},
    year = {2009},
    volume = {113},
    pages = {-8},
  }
  @Article{,
    author = {Matieyendou Lamboni and Hervé Monod and David Makowski},
    title = {Multivariate sensitivity analysis to measure global
      contribution of input factors in dynamic models},
    journal = {Reliability Engineering and System Safety},
    year = {2011},
    volume = {96},
    pages = {-9},
  }
  @Manual{,
    title = {{multisensi}: Multivariate Sensitivity Analysis},
    author = {Caroline Bidot and Matieyendou Lamboni and Hervé Monod},
    year = {2017},
    note = {R package version 2.1},
    url = {https://CRAN.R-project.org/package=multisensi},
  }