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embryogrowth (version 9.5)

resultNest_4p_normal: Result of the fit using the nest database using asymmetric normal function

Description

Fit using the nest database using asymmetric normal function

Usage

resultNest_4p_normal

Arguments

Format

A list with fitted information about data(nest)

Details

Result of the fit using the nest database using asymmetric normal function

References

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

Examples

Run this code
if (FALSE) {
library(embryogrowth)
data(nest)
formated <- FormatNests(nest)
x <- ChangeSSM(temperatures = (200:350)/10,
               parameters = resultNest_4p_SSM$par,
               initial.parameters = structure(c(3, 7, 11, 32), 
                               .Names = c("Scale", "sdL", "sdH", "Peak")), 
               control=list(maxit=1000))
pfixed <- c(rK=2.093313)
resultNest_4p_normal <- searchR(parameters=x$par, fixed.parameters=pfixed, 
                         temperatures=formated, integral=integral.Gompertz, M0=1.7, 
                         hatchling.metric=c(Mean=39.33, SD=1.92))
plotR(resultNest_4p_normal, ylim=c(0, 3))
plotR(resultNest_4p_normal, ylim=c(0, 3), ylimH = c(0, 0.9), show.hist=TRUE)
compare_AIC(SSM=resultNest_4p_SSM, Asymmetric.normal=resultNest_4p_normal)
}

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