Multivariate Sensitivity Analysis

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Documentation for package ‘multisensi’ version 2.1-1

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multisensi-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 'sensitivity' package
basis.ACP A function to decompose multivariate data by principal components analysis (PCA)
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 basis (O-spline)
basis.poly A function to decompose multivariate data on a polynomial basis
biomasse The Winter Wheat Dynamic Model
biomasseX A factorial input design for the main example
biomasseY Output of the biomasse model for the plan provided in the package
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 A function with multiple options to perform multivariate sensitivity analysis
multivar A function to decompose the output data set and reduce its dimension
planfact Complete factorial design in lexical order
planfact.as Complete factorial design
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)