Multivariate Sensitivity Analysis

Functions to perform sensitivity analysis on a model with multivariate output.


CHANGES IN 2.1-1 (2018-04-04)

New Features

  • A Startup Message

CHANGES IN 2.1 (2017-07-12)

New Features

  • Dynamical Sensitivity analysis also computes a Generalised Sensitivity Indice
  • New option for plot.dynsi() (argument gsi.plot) for plotting the new output GSI for dynsi class.

Bug Fixes

  • Some "drop=FALSE" and "na.rm=TRUE" were added
  • Changes in the upper plot for plot.dynsi() when normalized=TRUE : now it shows the median, the quartiles, the percentiles and the min/max for the model input

CHANGES IN 2.0 (2016-04-26)

New Features (a lot)

  • New plots and options for plot.dynsi() (arguments: normalized, total.plot, xtick)
  • New plots and options for plot.gsi() (arguments: cor.plot, xtick)
  • New function : multisensi()
  • New reduction methods
  • A Quick Guide

CHANGES IN 1.0-8 (2015-02-13)

Bug Fixes

  • Changes in summary.gsi() to display the total sensitivity indices.

New Features

  • New option for plot.gsi() (argument type)

CHANGES IN 1.0-7 (2013-07-15)

Bug Fixes

  • Changes in plot.gsi() to open new device in a portable way.

New Features

  • Modify inputs and outputs of ACP() and yapprox() - internal functions.

CHANGES IN 1.0-6 (2013-05-03)

New Features

  • New options for plot.dynsi() (arguments shade and color)
  • Faster examples by using a precalculated set of output variables of the biomasse model (dataset biomasseY)

CHANGES IN 1.0-5 (2013-03-29)

Bug Fixes

  • Correct columns naming for calculation with one Principal Component, nbcomp=1, in anovadec().
  • Changes in plot.dynsi() to plot main sensitivity indices.

New Features

  • Modify inputs and outputs of ACP() - internal function.

Reference manual

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2.1-1 by Hervé Monod, 4 years ago

Browse source code at

Authors: Caroline Bidot <[email protected]> , Matieyendou Lamboni <[email protected]> , HervĂ© Monod <[email protected]>

Documentation:   PDF Manual  

CeCILL-2 license

Imports stats, graphics, utils, grDevices, sensitivity, knitr

Suggests MASS

See at CRAN