Nothing
CE.Normal.MeanVar <-
function(data, Nmax=10, eps=0.01, rho=0.05, M=200, h=5, a=0.8, b=0.8, distyp = 1, penalty = "BIC", parallel=FALSE){
if(is.data.frame(data) == "FALSE"| is.null(dim(data)[2])) {
print("Error in data : dataframe only")
} else if(dim(data)[2] != 1) {
print("Error in data : single column dataframe only")
} else {
if(distyp == 1 & penalty == "BIC"){
Melite <- M * rho
L <- length(data[, 1])
L0 <- 1
k <- seq(0, Nmax, 1)
if(parallel == TRUE & .Platform$OS.type == "windows"){
cl <- makeCluster(parallel::detectCores(), type="SOCK")
clusterExport(cl, c("ce.sim4beta.MeanVar.BIC", "betarand", "fun.alpha", "fun.beta", "llhood.MeanVarNormal", "loglik.MeanVarNormal", "BIC.MeanVarNormal"), envir=environment())
clusterExport(cl, c("data", "rho", "M", "h", "eps", "Melite", "L", "L0", "a"), envir=environment())
registerDoParallel(cl)
sim <- foreach(k = k, .errorhandling = c('pass')) %dopar% ce.sim4beta.MeanVar.BIC(k, data, h, L0, L, M, Melite, eps, a)
stopCluster(cl)
} else if (parallel == TRUE & .Platform$OS.type == "unix"){
registerDoParallel(parallel::detectCores())
sim <- foreach(k = k, .errorhandling = c('pass')) %dopar% ce.sim4beta.MeanVar.BIC(k, data, h, L0, L, M, Melite, eps, a)
} else sim <- foreach(k = k, .errorhandling = c('pass')) %do% ce.sim4beta.MeanVar.BIC(k, data, h, L0, L, M, Melite, eps, a)
BIC.summary <- sapply(sim, "[[", 2)
opt.loci <- which(BIC.summary == min(BIC.summary))
loci.BIC <- sim[[opt.loci]]$loci
if(length(loci.BIC) >= 3) {
return(list("No.BPs" = length(loci.BIC) - 2, "BP.Loc" = loci.BIC[2:(length(loci.BIC) - 1)], "BIC value" = sim[[opt.loci]]$BIC.Val, "ll" = sim[[opt.loci]]$LogLike))
} else {
return(paste("No Break-Points are Estimated"))
}
} else if(distyp == 2 & penalty == "BIC"){
Melite <- M*rho
L <- length(data[, 1])
L0 <- 1
k <- seq(0, Nmax, 1)
if(parallel == TRUE & .Platform$OS.type == "windows"){
cl <- makeCluster(parallel::detectCores(), type="SOCK")
clusterExport(cl, c("ce.simnormal.MeanVar.BIC", "normrand", "llhood.MeanVarNormal", "loglik.MeanVarNormal", "BIC.MeanVarNormal"), envir = environment())
clusterExport(cl, c("data", "rho", "M", "h", "eps", "Melite", "L", "L0", "a", "b"), envir = environment())
registerDoParallel(cl)
sim <- foreach(k = k, .errorhandling = c('pass')) %dopar% ce.simnormal.MeanVar.BIC(k, data, h, L0, L, M, Melite, eps, a, b)
stopCluster(cl)
} else if (parallel == TRUE & .Platform$OS.type == "unix"){
registerDoParallel(parallel::detectCores())
sim <- foreach(k = k, .errorhandling = c('pass')) %dopar% ce.simnormal.MeanVar.BIC(k, data, h, L0, L, M, Melite, eps, a, b)
} else {
sim <- foreach(k = k, .errorhandling = c('pass')) %do% ce.simnormal.MeanVar.BIC(k, data, h, L0, L, M, Melite, eps, a, b)
}
BIC.summary <- sapply(sim, "[[", 2)
opt.loci <- which(BIC.summary == min(BIC.summary))
loci.BIC <- sim[[opt.loci]]$loci
if(length(loci.BIC) >= 3) {
return(list("No.BPs" = length(loci.BIC) - 2, "BP.Loc" = loci.BIC[2:(length(loci.BIC) - 1)], "BIC value" = sim[[opt.loci]]$BIC.Val, "ll" = sim[[opt.loci]]$LogLike))
} else {
return(paste("No Break-Points are Estimated"))
}
} else if (distyp == 1 & penalty == "AIC"){
Melite <- M * rho
L <- length(data[, 1])
L0 <- 1
k <- seq(0, Nmax, 1)
if(parallel == TRUE & .Platform$OS.type == "windows"){
cl <- makeCluster(parallel::detectCores(), type="SOCK")
clusterExport(cl, c("ce.sim4beta.MeanVar.AIC", "betarand", "fun.alpha", "fun.beta", "llhood.MeanVarNormal", "loglik.MeanVarNormal", "AIC.MeanVarNormal"), envir=environment())
clusterExport(cl, c("data", "rho", "M", "h", "eps", "Melite", "L", "L0", "a"), envir=environment())
registerDoParallel(cl)
sim <- foreach(k = k, .errorhandling = c('pass')) %dopar% ce.sim4beta.MeanVar.AIC(k, data, h, L0, L, M, Melite, eps, a)
stopCluster(cl)
} else if (parallel == TRUE & .Platform$OS.type == "unix"){
registerDoParallel(parallel::detectCores())
sim <- foreach(k = k, .errorhandling = c('pass')) %dopar% ce.sim4beta.MeanVar.AIC(k, data, h, L0, L, M, Melite, eps, a)
} else sim <- foreach(k = k, .errorhandling = c('pass')) %do% ce.sim4beta.MeanVar.AIC(k, data, h, L0, L, M, Melite, eps, a)
AIC.summary <- sapply(sim, "[[", 2)
opt.loci <- which(AIC.summary == min(AIC.summary))
loci.AIC <- sim[[opt.loci]]$loci
if(length(loci.AIC) >= 3) {
return(list("No.BPs" = length(loci.AIC) - 2, "BP.Loc" = loci.AIC[2:(length(loci.AIC) - 1)], "AIC value" = sim[[opt.loci]]$AIC.Val, "ll" = sim[[opt.loci]]$LogLike))
} else {
return(paste("No Break-Points are Estimated"))
}
} else if (distyp == 2 & penalty == "AIC"){
Melite <- M*rho
L <- length(data[, 1])
L0 <- 1
k <- seq(0, Nmax, 1)
if(parallel == TRUE & .Platform$OS.type == "windows"){
cl <- makeCluster(parallel::detectCores(), type="SOCK")
clusterExport(cl, c("ce.simnormal.MeanVar.AIC", "normrand", "llhood.MeanVarNormal", "loglik.MeanVarNormal", "AIC.MeanVarNormal"), envir = environment())
clusterExport(cl, c("data", "rho", "M", "h", "eps", "Melite", "L", "L0", "a", "b"), envir = environment())
registerDoParallel(cl)
sim <- foreach(k = k, .errorhandling = c('pass')) %dopar% ce.simnormal.MeanVar.AIC(k, data, h, L0, L, M, Melite, eps, a, b)
stopCluster(cl)
} else if (parallel == TRUE & .Platform$OS.type == "unix"){
registerDoParallel(parallel::detectCores())
sim <- foreach(k = k, .errorhandling = c('pass')) %dopar% ce.simnormal.MeanVar.AIC(k, data, h, L0, L, M, Melite, eps, a, b)
} else {
sim <- foreach(k = k, .errorhandling = c('pass')) %do% ce.simnormal.MeanVar.AIC(k, data, h, L0, L, M, Melite, eps, a, b)
}
AIC.summary <- sapply(sim, "[[", 2)
opt.loci <- which(AIC.summary == min(AIC.summary))
loci.AIC <- sim[[opt.loci]]$loci
if(length(loci.AIC) >= 3) {
return(list("No.BPs" = length(loci.AIC) - 2, "BP.Loc" = loci.AIC[2:(length(loci.AIC) - 1)], "AIC value" = sim[[opt.loci]]$AIC.Val, "ll" = sim[[opt.loci]]$LogLike))
} else {
return(paste("No Break-Points are Estimated"))
}
}
}
}
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