| 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) |