#' Result of the mcmc using the nest database with anchored parameters
#' @title Result of the mcmc using the nest database with anchored parameters
#' @author Marc Girondot \email{marc.girondot@@universite-paris-saclay.fr}
#' @docType data
#' @name resultNest_mcmc_newp
#' @encoding UTF-8
#' @description Fit using the nest database with anchored parameters
#' @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_mcmc_newp
#' @examples
#' \dontrun{
#' library(embryogrowth)
#' data(nest)
#' formated <- FormatNests(nest)
#' newp <- GenerateAnchor(nests=formated, number.anchors=7)
#' pfixed <- c(rK=2.093313)
#' resultNest_newp <- searchR(parameters=newp, fixed.parameters=pfixed, 
#'   temperatures=formated, integral=integral.Gompertz, M0=1.7, 
#'   hatchling.metric=c(Mean=39.33, SD=1.92))
#' data(resultNest_newp)
#' pMCMC <- TRN_MHmcmc_p(resultNest_newp, accept=TRUE)
#' # Take care, it can be very long, sometimes several days
#' resultNest_mcmc_newp <- GRTRN_MHmcmc(result=resultNest_newp,  
#'   parametersMCMC=pMCMC, n.iter=10000, n.chains = 1, n.adapt = 0,  
#' 	thin=1, trace=TRUE)
#' data(resultNest_mcmc_newp)
#' data(resultNest_4p_SSM)
#' newp <- GenerateAnchor(nests=resultNest_4p_SSM, number.anchors=7)
#' # Here the confidence interval is built based on anchored parameters
#' plotR(resultNest_4p_SSM, parameters=newp, SE=resultNest_mcmc_newp$SD, 
#'  ylim=c(0,4), ylimH=c(0,0.4), show.hist=TRUE, curve="ML quantiles")
#' # Here the confidence interval is built based on parametric SSM equation
#' data(resultNest_4p_SSM)
#' plotR(resultNest_4p_SSM, SE=resultNest_mcmc_4p_SSM$SD,
#'  ylim=c(0,4), ylimH=c(0,0.4), show.hist=TRUE, curve="ML quantiles")
#' plot(resultNest_mcmc_newp, las=1, xlim=c(0,30), parameters="294", 
#' breaks=c(0, 1.00095, 2.0009, 3.00085, 4.0008, 5.00075, 6.0007, 7.00065, 8.0006, 9.00055, 
#' 10.0005, 11.00045, 12.0004, 13.00035, 14.0003, 15.00025, 16.0002, 17.00015, 18.0001, 
#' 19.00005, 20))
#' plot(resultNest_mcmc_newp, las=1, xlim=c(0,30), parameters="296.333333333333")
#' plot(resultNest_mcmc_newp, las=1, xlim=c(0,30), parameters=3)
#' }
#' @format A list of class mcmcComposite with mcmc result for data(nest) with anchored parameters
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