
Define the minimum and maximum values for parameters whose global sensitivities are to be assessed with CalculateGlobalSens
or sensRange
functions.
SetRanges(pars = NULL, range = 0.1)
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.
data.frame
with the complete set of parameter ranges.
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.
# NOT RUN {
## IASA 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)
# }
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