multisensi2.1-1 package

Multivariate Sensitivity Analysis

analysis.anoasg

Runs a series of analyses of variance

analysis.sensitivity

Runs a series of sensitivity analyses by a function from the `sensitiv...

basis.ACP

A function to decompose multivariate data by principal components anal...

basis.bsplines

A function to decompose multivariate data on a B-spline basis

basis.mine

A function to decompose multivariate data on a user-defined basis

basis.osplines

A function to decompose multivariate data on an orthogonal B-spline ba...

basis.poly

A function to decompose multivariate data on a polynomial basis

biomasse

The Winter Wheat Dynamic Model

bspline

function to evaluate B-spline basis functions

climat

Climate data

dynsi

Dynamic Sensitivity Indices: DSI

graph.bar

Sensitivity index bar plot

graph.pc

Principal Components graph for gsi objects

grpe.gsi

Group factor GSI, obsolete function

gsi

Generalised Sensitivity Indices: GSI

multisensi-package

Multivariate sensitivity Analysis

multisensi

A function with multiple options to perform multivariate sensitivity a...

multivar

A function to decompose the output data set and reduce its dimension

planfact.as

Complete factorial design

planfact

Complete factorial design in lexical order

plot.dynsi

Plot method for dynamic sensitivity results

plot.gsi

Plot method for generalised sensitivity analysis

predict.gsi

A function to predict multivariate output

print.dynsi

print DYNSI

print.gsi

print GSI

quality

quality of any approximation

sesBsplinesNORM

normalized B-splines basis functions

sesBsplinesORTHONORM

orthogonalized B-splines basis functions

simulmodel

Model simulation

summary.dynsi

dynsi summary

summary.gsi

summary of GSI results

yapprox

Prediction based on PCA and anovas (NOT ONLY)

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

  • Maintainer: Hervé Monod
  • License: CeCILL-2
  • Last published: 2018-04-10