#' Result of the fit using the nest database using Weibull function
#' @title Result of the fit using the nest database using Weibull function
#' @author Marc Girondot \email{marc.girondot@@universite-paris-saclay.fr}
#' @docType data
#' @name resultNest_3p_Weibull
#' @encoding UTF-8
#' @description Fit using the nest database using Weibull function.
#' The model is:\cr
#'     rT <- dweibull(T, shape=abs(parms["k"]), \cr
#'                    scale=abs(parms["lambda"]))*parms["scale"]*1E-5\cr
#' @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
#' @keywords datasets
#' @usage resultNest_3p_Weibull
#' @examples
#' \dontrun{
#' 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)
#' }
#' @format A list with fitted information about data(nest)
NULL