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# read a BIF file into a bn.fit object.
read.bif = function(file, debug = FALSE) {
# load the BIF file into memory.
lines = readLines(file)
read.foreign.backend(lines, format = "bif", filename = file, debug = debug)
}#READ.BIF
# dump a bn.fit object into a BIF file.
write.bif = function(file, fitted) {
check.fit(fitted)
# only discrete bayesian networks are supported.
if (!is(fitted, c("bn.fit.dnet", "bn.fit.onet", "bn.fit.donet")))
stop("only discrete Bayesian networks can be exported into BIF format.")
# open the file for writing.
fd = file(description = file, open = "w")
write.foreign.backend(fd, fitted = fitted, format = "bif")
close(fd)
invisible(NULL)
}#WRITE.BIF
# read a DSC file into a bn.fit object.
read.dsc = function(file, debug = FALSE) {
# load the DSC file into memory.
lines = readLines(file)
read.foreign.backend(lines, format = "dsc", filename = file, debug = debug)
}#READ.DSC
# dump a bn.fit object into a DSC file.
write.dsc = function(file, fitted) {
check.fit(fitted)
# only discrete bayesian networks are supported.
if (!is(fitted, c("bn.fit.dnet", "bn.fit.onet", "bn.fit.donet")))
stop("only discrete Bayesian networks can be exported into DSC format.")
# open the file for writing.
fd = file(description = file, open = "w")
write.foreign.backend(fd, fitted = fitted, format = "dsc")
close(fd)
invisible(NULL)
}#WRITE.DSC
# read a NET file into a bn.fit object.
read.net = function(file, debug = FALSE) {
# load the NET file into memory.
lines = readLines(file)
read.foreign.backend(lines, format = "net", filename = file, debug = debug)
}#READ.NET
# dump a bn.fit object into a NET file.
write.net = function(file, fitted) {
check.fit(fitted)
# only discrete bayesian networks are supported.
if (!is(fitted, c("bn.fit.dnet", "bn.fit.onet", "bn.fit.donet")))
stop("only discrete Bayesian networks can be exported into DSC format.")
# open the file for writing.
fd = file(description = file, open = "w")
write.foreign.backend(fd, fitted = fitted, format = "net")
close(fd)
invisible(NULL)
}#WRITE.NET
write.dot = function(file, graph) {
check.bn.or.fit(graph)
# open the file for writing.
fd = file(description = file, open = "w")
write.dot.backend(fd, graph = graph)
close(fd)
invisible(NULL)
}#WRITE.DOT
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