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multisensi (version 2.2-1)

Multivariate Sensitivity Analysis

Description

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

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Version

Install

install.packages('multisensi')

Monthly Downloads

253

Version

2.2-1

License

CeCILL-2

Maintainer

Herv<c3><a9> Monod

Last Published

August 19th, 2026

Functions in multisensi (2.2-1)

plot.dynsi

Plot method for dynamic sensitivity results
plot.gsi

Plot method for generalised sensitivity analysis
biomasseY

Output of the biomasse model for the plan provided in the package
biomasse

The Winter Wheat Dynamic Model
multisensi-package

Multivariate sensitivity Analysis
dynsi

Dynamic Sensitivity Indices: DSI
gsi

Generalised Sensitivity Indices: GSI
graph.pc

Principal Components graph for gsi objects
print.gsi

print GSI
predict.gsi

A function to predict multivariate output
summary.gsi

summary of GSI results
summary.dynsi

dynsi summary
basis.osplines

A function to decompose multivariate data on an orthogonal B-spline basis (O-spline)
analysis.anoasg

Runs a series of analyses of variance
basis.mine

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

Sensitivity index bar plot
print.dynsi

print DYNSI
basis.ACP

A function to decompose multivariate data by principal components analysis (PCA)
analysis.sensitivity

Runs a series of sensitivity analyses by a function from the sensitivity package
Climat

Climate data
simulmodel

Model simulation
sesBsplinesNORM

normalized B-splines basis functions
planfact.as

Complete factorial design
sesBsplinesORTHONORM

orthogonalized B-splines basis functions
planfact

Complete factorial design in lexical order
biomasseX

A factorial input design for the main example
grpe.gsi

Group factor GSI, obsolete function
multivar

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

A function with multiple options to perform multivariate sensitivity analysis
basis.poly

A function to decompose multivariate data on a polynomial basis
basis.bsplines

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

Prediction based on PCA and anovas (NOT ONLY)
quality

quality of any approximation
bspline

function to evaluate B-spline basis functions