resultNest_4p_weight: Fit using the nest database with weight

resultNest_4p_weightR Documentation

Fit using the nest database with weight

Description

Fit using the nest database with weight

Usage

resultNest_4p_weight

Format

A list with fitted information about data(nest)

Details

Result of the fit using the nest database with weight

Author(s)

Marc Girondot marc.girondot@universite-paris-saclay.fr

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

## 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 integral.linear or integral.exponential
resultNest_4p_weight <- searchR(parameters=x,  
	fixed.parameters=pfixed, temperatures=formated,  
	integral=integral.Gompertz, M0=1.7, hatchling.metric=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)

embryogrowth documentation built on Oct. 24, 2023, 5:07 p.m.