resultNest_3p_Weibull | R Documentation |
Fit using the nest database using Weibull function.
The model is:
rT <- dweibull(T, shape=abs(parms["k"]),
scale=abs(parms["lambda"]))*parms["scale"]*1E-5
resultNest_3p_Weibull
A list with fitted information about data(nest)
Result of the fit using the nest database using Weibull function
Marc Girondot marc.girondot@universite-paris-saclay.fr
Girondot, M., & Kaska, Y. (2014). A model to predict the thermal reaction norm for the embryo growth rate from field data. Journal of Thermal Biology, 45, 96-102. doi: 10.1016/j.jtherbio.2014.08.005
## Not run:
library(embryogrowth)
data(nest)
formated <- FormatNests(nest)
# Weibull model
x <- ChangeSSM(temperatures = (200:350)/10,
parameters = resultNest_4p_SSM$par,
initial.parameters = structure(c(73.4009010417375, 304.142079511996,
27.4671689276281),
.Names = c("k", "lambda", "scale")),
control=list(maxit=1000))
pfixed <- c(rK=2.093313)
resultNest_3p_Weibull <- searchR(parameters=x$par, fixed.parameters=pfixed,
temperatures=formated, integral=integral.Gompertz, M0=1.7,
hatchling.metric=c(Mean=39.33, SD=1.92))
plotR(resultNest_3p_Weibull, ylim=c(0, 3))
plotR(resultNest_3p_Weibull, ylim=c(0, 3), ylimH = c(0, 0.9), show.hist=TRUE)
compare_AIC(SSM=resultNest_4p_SSM, Weibull=resultNest_3p_Weibull)
## End(Not run)
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