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#' LD50_MHmcmc_p generates set of parameters to be used with LD50_MHmcmc()
#' @title Generates set of parameters to be used with LD50_MHmcmc()
#' @author Marc Girondot \email{marc.girondot@@gmail.com}
#' @return A matrix with the parameters
#' @param result An object obtained after a LD50 fit
#' @param accept If TRUE, the script does not wait user information
#' @description Interactive script used to generate set of parameters to be
#' used with LD50_MHmcmc().
#' @family LD50 functions
#' @examples
#' \dontrun{
#' library("HelpersMG")
#' data <- data.frame(Doses=c(80, 120, 150, 150, 180, 200),
#' Alive=c(10, 12, 8, 6, 2, 1),
#' Dead=c(0, 1, 5, 6, 9, 15))
#' LD50_logistic <- LD50(data, equation="logistic")
#' pmcmc <- LD50_MHmcmc_p(LD50_logistic, accept=TRUE)
#' }
#' @export
LD50_MHmcmc_p<-function(result=stop("An output from LD50() must be provided"),
accept=FALSE) {
# d'abord je sors les paramtres utiliser
par <- result$par
# "P"
P <- c("dnorm", par["P"], par["P"]/10, 2, par["P"]/2, par["P"]*2, ifelse(is.na(par["P"]), 29.5, par["P"]))
S <- c("dnorm", par["S"], abs(par["S"])/2, 0.5, -abs(par["S"])*2, abs(par["S"])*2,
ifelse(is.na(par["S"]), 0.01, par["S"]))
K <- c("dnorm", par["K"], abs(par["K"])/2, 0.5, -abs(par["K"])*2, abs(par["K"])*2,
ifelse(is.na(par["K"]), 0.01, par["K"]))
K1 <- c("dnorm", par["K"], abs(par["K1"])/2, 0.5, -abs(par["K1"])*2, abs(par["K1"])*2,
ifelse(is.na(par["K1"]), 0.01, par["K1"]))
K2 <- c("dnorm", par["K2"], abs(par["K2"])/2, 0.5, -abs(par["K2"])*2, abs(par["K2"])*2,
ifelse(is.na(par["K2"]), 0.01, par["K2"]))
priors <- list(P=P, S=S, K=K, K1=K1, K2=K2)
prencours <- NULL
for (i in 1:length(par)) {
prencours <- c(prencours, priors[[names(par)[i]]])
}
parametersMCMC <- matrix(prencours, ncol=7, byrow=T)
colnames(parametersMCMC) <- c("Density", "Prior1", "Prior2", "SDProp", "Min", "Max", "Init")
rownames(parametersMCMC)<-names(par)
parametersMCMC <- as.data.frame(parametersMCMC, stringsAsFactors = FALSE)
for (i in 2:7)
parametersMCMC[,i] <- as.numeric(parametersMCMC[,i])
parameters <- parametersMCMC
if (accept) {
return(parameters)
} else {
repeat {
cat("Proposition:\n")
print(parameters)
cat("Name of the parameter to change or Enter to quit:\n")
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)==0) f <- "q"
if (f=="q") {
return(parameters)
} else {
variable <- which(f==names(par))
if (length(variable)==0) {
cat("The parameter does not exist:\n")
} else {
print(variable)
cat(paste("Change for the parameter ",names(par)[variable],":\n",sep=""))
cat(paste("Distribution of the prior (Enter for default ",parameters[variable, "Density"], "):", sep=""))
density<-scan(nmax=1, quiet=TRUE, what=character())
if (length(density)!=0) { parameters[variable, "Density"] <- density } else { density <- parameters[variable, "Density"] }
if (density == "dunif") {
cat(paste("Distribution of the prior, Minimum (Enter for default ", parameters[variable, "Prior1"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "Prior1"] <- f
cat(paste("Distribution of the prior, Maximum (Enter for default ", parameters[variable, "Prior2"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "Prior2"] <- f
} else {
if (density == "dnorm") {
cat(paste("Distribution of the prior, Mean (Enter for default ", parameters[variable, "Prior1"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "Prior1"] <- f
cat(paste("Distribution of the prior, Standard deviation (Enter for default ",parameters[variable, "Prior2"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "Prior2"] <- f
} else {
cat(paste("Distribution of the prior, value 1 (Enter for default ",parameters[variable, "Prior1"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "Prior1"] <- f
cat(paste("Distribution of the prior, value 2 (Enter for default ",parameters[variable, "Prior2"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "Prior2"] <- f
}
}
cat(paste("SD of new proposition (Enter for default ",parameters[variable, "SDProp"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "SDProp"] <- f
cat(paste("Minimum for the parameter (default ",parameters[variable, "Min"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "Min"] <- f
cat(paste("Maximum for the parameter (Enter for default ",parameters[variable, "Max"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "Max"] <- f
cat(paste("Initial value (Enter for default ",parameters[variable, "Init"], "):", sep=""))
f<-scan(nmax=1, quiet=TRUE, what=character())
if (length(f)!=0) parameters[variable, "Init"] <- f
}
}
}
}
}
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