**NEW Sharing area**

User documentation

Admin documentation

Development resources

Download

Private area

Download Flash Player 9 or better for full experience.

This method computes the Standardized Regression Coefficients (SRC), or the Standardized Rank Regression Coefficients (SRRC), which are sensitivity indices based on linear or monotonic assumptions in the case of independent factors.In this case, the total cost is 70 simulations.The resulting analysis is the following:

- A. Saltelli, K. Chan and E. M. Scott eds, 2000, Sensitivity Analysis, Wiley.

SRC/SRRC method is wrapped from [R] sensitivity package written by Gilles Pujol and maintained by Bertrand Iooss.

See Sensitivity package documentation.

Available random models for input variables:

See Sensitivity package documentation.

Available random models for input variables:

- Uniform(min,max) from [d|p|q|r]unif function
- Normal(mean,sd) from [d|p|q|r]norm function
- LogNormal(meanlog,sdlog) from [d|p|q|r]lnorm function
- Beta(shape1,shape2) from [d|p|q|r]beta function
- Exponential(rate) from [d|p|q|r]exp function
- Pareto(location,shape) from [d|p|q|r]pareto function from VGAM package
- Gamma(shape,scale) from [d|p|q|r]gamma
- Gumbel(loc,scale) from [d|p|q|r]gumbel function from evd package
- Logistic(location,scale) from [d|p|q|r]logis function
- Cauchy(location,scale) from [d|p|q|r]cauchy function
- Student(df) from [d|p|q|r]t function
- F(df1,df2) from [d|p|q|r]f function
- ChiSquared(df) from [d|p|q|r]chisq function
- Poisson(lambda) from [d|p|q|r]pois function
- Binomial(size,prob) from [d|p|q|r]binom function
- NegativeBinomial(size,prob) from [d|p|q|r]nbinom function
- Geometric(prob) from [d|p|q|r]geom function
- Hypergeometric(m,n,k) from [d|p|q|r]hyperm function
- Wilcoxon(m,n) from [d|p|q|r]wilcox function
- Triangular(theta,lower,upper) from [d|p|q|r]triangle function from VGAM package
- TruncatedNormal(mean,sd,lower,upper) from [d|p|q|r]tnorm function from msm package
- Weibull(shape,scale) from [d|p|q|r]weibull function
- RWeibull(loc,shape,scale) from [d|p|q|r]rweibull function from evd package
- Frechet(loc,shape,scale) from [d|p|q|r]frechet function from evd package
- GEV(loc,shape,scale) from [d|p|q|r]gev function from evd package

- copy in “
**Promethee_Install_Path**/plugins/doe” directory, - restart Promethee GUI.