Nothing
.STRN_fit <- function(par=NULL ,
fixed.parameters=NULL ,
equation=NULL ,
tsd=NULL ,
Sexed=NULL ,
Males=NULL ,
sexratio="TSP.TimeWeighted.GrowthRateWeighted.STRNWeighted.sexratio.mean" ,
zero = 1E-9 ,
parallel=TRUE ,
NestsResult = NULL ,
embryo.stages=NULL ,
TSP.borders=NULL ,
TSP.begin=NULL ,
TSP.end=NULL ,
out="likelihood" ,
fill=60 ,
verbose = FALSE ) {
# par=NULL; fixed.parameters=NULL; equation=NULL; TSP.borders=NULL
# embryo.stages="Generic.ProportionDevelopment"; TSP.begin=0; TSP.end=0.5
# EmbryoGrowthTRN=NULL; tsd=NULL; Sexed=NULL; Males=NULL; Temperatures=NULL
# zero = 1E-9; parallel=TRUE
# library(embryogrowth)
# MedIncubation_Cc <- subset(DatabaseTSD, Species=="Caretta caretta" &
# RMU=="Mediterranean" & Sexed!=0)
# tsd <- tsd(males=MedIncubation_Cc$Males,
# females=MedIncubation_Cc$Females,
# temperatures=MedIncubation_Cc$Incubation.temperature,
# par=c(P=29.5, S=-0.1))
# equation <- NULL
#
# Males <- c(7, 0, 0, 0, 0, 5, 6, 3, 5, 3, 2, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0)
# names(Males) <- rev(rev(names(resultNest_4p_SSM$data))[-(1:2)])
# Sexed <- rep(10, length(males))
# names(Sexed) <- rev(rev(names(resultNest_4p_SSM$data))[-(1:2)])
# par <- structure(c(582.567096666926, 2194.0806711639, 3475.28414940385),
# .Names = c("DHA", "DHH", "T12H"))
# fixed.parameters <- c(Rho25=100)
# sexratio <- ""
# zero <- 1E-9
# parallel <- TRUE
# NestsResult <- resultNest_4p_SSM
# embryo.stages <- "Caretta caretta.SCL"
# TSP.borders <- NULL
# TSP.begin <- 0
# TSP.end <- 0.5
# sexratio <- "TSP.TimeWeighted.sexratio.mean"
if (verbose) {
print(par)
}
if (!is.null(Sexed)) {
serafaire <- names(Sexed[(!is.na(Sexed)) & !is.na(Males)])
} else {
serafaire <- names(NestsResult$data[1:NestsResult$data[["IndiceT"]]["NbTS"]])
}
par_fit <- c(par, fixed.parameters)
parSTRN <- par_fit[! (names(par_fit) %in% c("K1", "K2", "K", "P", "S"))]
parTSD <- par_fit[(names(par_fit) %in% c("K1", "K2", "K", "P", "S"))]
if (identical(parTSD, structure(numeric(0), .Names = character(0)))) {
parTSD <- NULL
}
if (identical(parSTRN, structure(numeric(0), .Names = character(0)))) {
parSTRN <- NULL
}
# Je calcule le SR dépendant de sexratio
if (is.null(tsd)) {
tsd <- list(par=parTSD, equation=equation)
tsd <- addS3Class(tsd, "tsd")
}
if (!is.null(parTSD)) {
tsd$par <- parTSD
}
rr <- info.nests(NestsResult=NestsResult ,
fixed.parameters=NULL ,
series=serafaire ,
tsd=tsd ,
embryo.stages=embryo.stages ,
TSP.borders=TSP.borders ,
TSP.begin=TSP.begin ,
TSP.end=TSP.end ,
parallel=parallel ,
replicate.CI = 0 ,
out="summary" ,
SexualisationTRN = parSTRN ,
fill=fill ,
progressbar = FALSE ,
warnings = FALSE ,
zero=zero ,
verbose = verbose
)
sr <- rr$summary[serafaire, sexratio]
if (out=="likelihood") {
if (is.null(Sexed) | is.null(Males)) {
# message(paste0("Likelihood=+Inf\n", d(parSTRN), collapse = " "))
return(+Inf)
} else {
Sexed <- Sexed[serafaire]
Males <- Males[serafaire]
sr <- ifelse(sr == 0, zero, sr)
sr <- ifelse(sr == 1, 1-zero, sr)
Lsr <- -sum(dbinom(prob=sr,
size=Sexed, x=Males, log=TRUE))
if (is.na(Lsr)) {
message(paste0("Likelihood=", as.character(Lsr)))
message(paste0("Error in sex ratio estimation:\nSexualisationTRN=", d(parSTRN), collapse = " "))
}
return(Lsr)
}
} else {
return(sr)
}
}
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