SetRanges: Parameter ranges for global sensitivity analysis

Description Usage Arguments Value References See Also Examples

Description

Define the minimum and maximum values for parameters whose global sensitivities are to be assesses with CalculateGlobalSens or sensRange functions.

Usage

1
SetRanges(pars = NULL, range = 0.1)

Arguments

pars

the same pars vector used in one of the following functions: SolveSI or SolveIASA.

range

scale factor to define the minimum and maximum for each parameter. The default is 0.1, which set the minimum and maximum as 10 percent lesser and greater than the pars values.

Value

data.frame with the complete set of parameter ranges.

References

Soetaert K and Petzoldt T (2010). Inverse modelling, sensitivity and monte carlo analysis in R using package FME. Journal of Statistical Software, 33(3), pp. 1-28.

Reichert P and Kfinsch HR (2001). Practical identifiability analysis of large environmental simulation models. Water Resources Research, 37(4), pp. 1015-1030.

http://oswaldosantos.github.io/capm

See Also

sensRange and SolveSI.

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
data(psu.ssu)
data(survey.data)

#####################
## SolveIASA model ##
#####################

# Parameters and initial conditions.
pars.solve.iasa = c(
   b1 = 21871, b2 = 4374,
   df1 = 0.104, dm1 = 0.098, df2 = 0.125, dm2 = 0.118,
   sf1 = 0.069, sf2 = 0.05, sm1 = 0.028, sm2 = 0.05,
   k1 = 98050, k2 = 8055, h1 = 1, h2 = 0.5,
   a = 0.054, alpha = 0.1, v = 0.2, z = 0.1)

# Set ranges 10 % greater and lesser than the 
# point estimates.
rg.solve.iasa <- SetRanges(pars.solve.iasa)


Search within the capm package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.