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embryogrowth (version 6.4)

resultNest_4p_weight: Fit using the nest database with weight

Description

Fit using the nest database with weight

Usage

resultNest_4p_weight

Arguments

Format

A list with fitted information about data(nest)

Details

Result of the fit using the nest database with weight

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
## Not run: 
# library(embryogrowth)
# data(nest)
# formated <- FormatNests(nest)
# w <- weightmaxentropy(formated, control_plot=list(xlim=c(20,36)))
# x <- structure(c(118.768297442004, 475.750095909406, 306.243694918151, 
# 116.055824800264), .Names = c("DHA", "DHH", "T12H", "Rho25"))
# # pfixed <- c(K=82.33) or rK=82.33/39.33
# pfixed <- c(rK=2.093313)
# # K or rK are not used for dydt.linear or dydt.exponential
# resultNest_4p_weight <- searchR(parameters=x,  
# 	fixed.parameters=pfixed, temperatures=formated,  
# 	derivate=dydt.Gompertz, M0=1.7, test=c(Mean=39.33, SD=1.92),  
# 	method = "BFGS", weight=w)
# data(resultNest_4p_weight)
# plotR(resultNest_4p_weight, ylim=c(0,0.50), xlim=c(15, 35))
# ## End(Not run)

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