自前JAGS呼び出し関数 2011-08-21版 [統計]
並列化にも対応した(はずの)自前のJAGS呼び出し関数の2011-08-21版(前の版)。JAGS 3でも とりあえずエラーは出なくなったが、例によってエラー処理とかはいいかげん。
ライセンスをGPL2としてみた。
ライセンスをGPL2としてみた。
## Copyright (C) 2007-2011 ITÔ Hiroki## ## This program is free software; you can redistribute it and/or modify ## it under the terms of the GNU General Public License as published by ## the Free Software Foundation; either version 2 of the License, or ## any later version. ## ## This program is distributed in the hope that it will be useful, ## but WITHOUT ANY WARRANTY; without even the implied warranty of ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ## GNU General Public License for more details. ## ## You should have received a copy of the GNU General Public License ## along with this program; if not, write to the Free Software ## Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA library(coda) library(snow) jags.makedata <- function(data, file = "jags-data.R") { ## write a data file if (is.list(data)) { for (i in 1:length(data)) { lab <- labels(data)[i] dat.l <- paste("\"", lab, "\" <- ", sep = "") dat <- data[[i]] if (length(dat) > 1 & is.vector(dat)) { dat.l <- paste(dat.l, "c(") for (j in 1:(length(dat) - 1)) { dat.l <- paste(dat.l, dat[j], ", ", sep = "") } dat.l <- paste(dat.l, dat[length(dat)], ")", sep = "") } else if (is.matrix(dat) || is.array(dat)) { dat.l <- paste(dat.l, "structure(c(") v <- as.vector(dat) for (j in 1:(length(v) - 1)) { dat.l <- paste(dat.l, v[j], ", ", sep = "") } dat.l <- paste(dat.l, dat[length(v)], "),", sep = "") dat.l <- paste(dat.l, ".Dim=c(", paste(dim(dat), collapse = ","), "))") } else { if (is.character(dat)) { dat <- paste("\"", dat, "\"", sep = "") } dat.l <- paste(dat.l, as.character(dat)) } write(dat.l, file, append=(i > 1)) } } else { stop("jags.makedata: first parameter must be a list.") } } jags.makeinit <- function(inits, file = "jags-init.R") { ## write a init file jags.makedata(inits, file) } jags.makecmd <- function(parameters.to.save, cmd.file = "jags.cmd", model.file = "jags.bug", data.file = "jags-data.R", init.file = "jags-init.R", out = "", n.chains = 3, n.iter = 2000, n.burnin = floor(n.iter/2), n.thin = max(1, (n.iter - n.burnin) %/% 1000)) { ## write a command file write(paste("model in \"", model.file, "\"", sep=""), cmd.file) write(paste("data in \"", data.file, "\"", sep=""), cmd.file, append = TRUE) write(paste("compile, nchains(", n.chains, ")", sep=""), cmd.file, append = TRUE) if (n.chains == 1) { write(paste("parameters in \"", init.file, "\", chain(", 1, ")", sep=""), cmd.file, append = TRUE) } else { for (i in 1:n.chains) { init.i <- gsub("^([^\\.]*)\\.([^\\.]*$)", paste("\\1-", i, ".\\2", sep = ""), init.file) write(paste("parameters in \"", init.i, "\", chain(", i, ")", sep=""), cmd.file, append = TRUE) } } write("initialize", cmd.file, append = TRUE) write(paste("update", format(n.burnin, scientfic = FALSE)), cmd.file, append = TRUE) for (i in 1:length(parameters.to.save)) { write(paste("monitor set ", parameters.to.save[i], ",thin(", format(n.thin, scientific = FALSE), ")", sep=""), cmd.file, append = TRUE) } write(paste("update", format(n.iter - n.burnin, scientific = FALSE)), cmd.file, append = TRUE) write(paste("coda *,stem(\"", out, "\")", sep=""), cmd.file, append = TRUE) write("exit", cmd.file, append = TRUE) } jags.run <- function(data, inits, parameters.to.save, model.file = "jags.bug", data.file = "jags-data.R", init.file = "jags-init.R", cmd.file = "jags.cmd", out = "", jags = "/usr/local/bin/jags", n.chains = 3, n.iter = 2000, n.burnin = floor(n.iter/2), n.thin = max(1, (n.iter - n.burnin) %/% 1000)) { ## run jags # check the model file if (!file.exists(model.file)) { stop(paste(model.file, "does not exist.")) } # check number of chains if (n.chains < 1) { stop("n.chains must be larger than 0.") } else if (n.chains >= 2 & n.chains != length(inits)) { stop("n.chains != length(inits).") } else { result <- vector("list", n.chains) jags.makedata(data = data, file = data.file) if (n.chains == 1) { jags.makeinit(inits = inits, file = init.file) } else { for (i in 1:n.chains) { init.i <- gsub("^([^\\.]*)\\.([^\\.]*$)", paste("\\1-", i, ".\\2", sep = ""), init.file) jags.makeinit(inits = inits[[i]], file = init.i) } } jags.makecmd(parameters.to.save = parameters.to.save, cmd.file = cmd.file, model.file = model.file, data.file = data.file, init.file = init.file, out = out, n.chains = n.chains, n.iter = n.iter, n.burnin = n.burnin, n.thin = n.thin) if (system(paste(jags, cmd.file, sep = " "), wait = TRUE) == 0) { for (i in 1:n.chains) { output.file <- paste(out, "chain", i, ".txt", sep = "") index.file <- paste(out, "index.txt", sep = "") result[[i]] <- read.coda(output.file, index.file) } rslt <- mcmc.list(result) } else { stop("calculation failed!") } } return(rslt) } jags.parrun <- function(data, inits, parameters.to.save, model.file = "jags.bug", data.prefix = "jags-data", init.prefix = "jags-init", cmd.prefix = "jags", out = "", jags = "/usr/local/bin/jags", n.chains = 3, n.iter = 2000, n.burnin = floor(n.iter/2), n.thin = max(1, (n.iter - n.burnin) %/% 1000), spec = rep("localhost", n.chains)) { ## run jags in paralell if (!file.exists(model.file)) { stop(paste(model.file, "does not exist.")) } if (n.chains < 1) { stop("n.chains must be larger than 0.") } else if (n.chains >= 2 & n.chains != length(inits)) { stop("n.chains != length(inits).") } else if (!is.list(data)) { stop("data must be a list.") } else { dp <- data.prefix ip <- init.prefix cm <- cmd.prefix ot <- out jg <- jags par <- parameters.to.save iter <- n.iter burnin <- n.burnin thin <- n.thin params <- list("jags.run", "mcmc", "mcmc.list", "read.coda", "jags.makedata", "jags.makeinit", "jags.makecmd") cl <- makeCluster(spec, type = "SOCK") clusterExport(cl, params) r <- parLapply(cl, 1:n.chains, function(i) { jags.run(data, inits[[i]], par, model.file = model.file, data.file = paste(dp, i, ".R", sep = ""), init.file = paste(ip, i, ".R", sep = ""), cmd.file = paste(cm, i, ".cmd", sep = ""), out = paste(ot, i, "CODA", sep = ""), jags = jg, n.chains = 1, n.iter = iter, n.burnin = burnin, n.thin = thin) }) stopCluster(cl) rslt <- mcmc.list(lapply(1:n.chains, function(x) r[[x]][[1]])) } return(rslt) }
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