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rsmax2(x, whitelist = NULL, blacklist = NULL, restrict,
maximize = "hc", test = NULL, score = NULL, alpha = 0.05,
B = NULL, ..., maximize.args = list(), optimized = TRUE,
strict = FALSE, debug = FALSE)
mmhc(x, whitelist = NULL, blacklist = NULL, test = NULL,
score = NULL, alpha = 0.05, B = NULL, ..., restart = 0,
perturb = 1, max.iter = Inf, optimized = TRUE,
strict = FALSE, debug = FALSE)
gs
, iamb
, fast.iamb
, inter.iamb
and
mmpc
. See <
hc
and tabu
. See bnlearn-package
for
det
test
argument is not a permutation test.score
for details.maximize
, such as restart
for
hill-climbing or tabu
for tabu search.TRUE
a lot of debugging output
is printed; otherwise the function is completely silent.bnlearn-package
for details.TRUE
conflicting results in
the learning process generate an error; otherwise they result
in a warning.bn
.
See bn-class
for details.