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R/rbn.R
In pchc: Bayesian Network Learning with the PCHC and Related Algorithms
Defines functions
rbn
Documented in
rbn
rbn <- function(n, dagobj, x) {
if ( is.null( colnames(x) ) ) colnames(x) <- paste("X", 1:dim(x)[2], sep = "")
if ( !is.data.frame(x) ) x <- as.data.frame(x)
fitted <- bnlearn::bn.fit(dagobj, data = x)
bnlearn::rbn(x = fitted, n = n)
}
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pchc documentation built on April 4, 2025, 1:11 a.m.
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Defines functions rbn
Documented in rbn
rbn <- function(n, dagobj, x) {
if ( is.null( colnames(x) ) ) colnames(x) <- paste("X", 1:dim(x)[2], sep = "")
if ( !is.data.frame(x) ) x <- as.data.frame(x)
fitted <- bnlearn::bn.fit(dagobj, data = x)
bnlearn::rbn(x = fitted, n = n)
}
Try the pchc package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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