Function describing exponential decline from a defined starting value, with a concentration dependent rate constant.
IORE.solution(t, parent_0, k__iore, N)
Time.
Starting value for the response variable at time zero.
Rate constant. Note that this depends on the concentration units used.
Exponent describing the nonlinearity of the rate equation
The value of the response variable at time t
.
The solution of the IORE kinetic model reduces to the
SFO.solution
if N = 1. The parameters of the IORE model can
be transformed to equivalent parameters of the FOMC mode - see the NAFTA
guidance for details.
NAFTA Technical Working Group on Pesticides (not dated) Guidance for Evaluating and Calculating Degradation Kinetics in Environmental Media
Other parent solutions:
DFOP.solution()
,
FOMC.solution()
,
HS.solution()
,
SFO.solution()
,
SFORB.solution()
,
logistic.solution()
plot(function(x) IORE.solution(x, 100, 0.2, 1.3), 0, 2, ylim = c(0, 100))
# \dontrun{
fit.fomc <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)
fit.iore <- mkinfit("IORE", FOCUS_2006_C, quiet = TRUE)
fit.iore.deS <- mkinfit("IORE", FOCUS_2006_C, solution_type = "deSolve", quiet = TRUE)
print(data.frame(fit.fomc$par, fit.iore$par, fit.iore.deS$par,
row.names = paste("model par", 1:4)))
#> fit.fomc.par fit.iore.par fit.iore.deS.par
#> model par 1 85.87489063 85.874890 85.874891
#> model par 2 0.05192238 -4.826631 -4.826631
#> model par 3 0.65096665 1.949403 1.949403
#> model par 4 1.85744396 1.857444 1.857444
print(rbind(fomc = endpoints(fit.fomc)$distimes, iore = endpoints(fit.iore)$distimes,
iore.deS = endpoints(fit.iore)$distimes))
#> DT50 DT90 DT50back
#> fomc 1.785233 15.1479 4.559973
#> iore 1.785233 15.1479 4.559973
#> iore.deS 1.785233 15.1479 4.559973
# }