Nothing

```
#######################################################################
# rEMM - Extensible Markov Model (EMM) for Data Stream Clustering in R
# Copyright (C) 2011 Michael Hahsler
#
# 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.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
## creator for TRACDS
TRACDS <- function(lambda = 0) {
new("TRACDS", lambda = lambda)
}
## show
setMethod("show", signature(object = "TRACDS"),
function(object) {
cat("tNN with", nstates(object), "states.\n")
invisible(NULL)
})
setMethod("copy", signature(x = "TRACDS"),
function(x) {
r <- new("TRACDS")
## copy environment
r@tracds_d <- as.environment(as.list(x@tracds_d))
r
})
setMethod("nstates", signature(x = "TRACDS"),
function(x)
smc_size(x@tracds_d$mm))
setMethod("states", signature(x = "TRACDS"),
function(x)
smc_states(x@tracds_d$mm))
setMethod("current_state", signature(x = "TRACDS"),
function(x)
x@tracds_d$current_state)
setMethod("ntransitions", signature(x = "TRACDS"),
function(x, threshold = NA) {
if (is.na(threshold))
sum(smc_countMatrix(x@tracds_d$mm) > 0)
else
sum(smc_countMatrix(x@tracds_d$mm) >= threshold)
})
setMethod("transitions", signature(x = "TRACDS"),
function(x) {
m <- smc_countMatrix(x@tracds_d$mm)
### check for no transition
if (sum(m) < 1)
edges <- matrix(as.character(NA), nrow = 0, ncol = 2)
else
edges <- apply(
which(m > 0, arr.ind = T),
MARGIN = 2,
FUN = function(x)
colnames(m)[x]
)
colnames(edges) <- c("from", "to")
edges
})
setMethod("rare_transitions", signature(x = "TRACDS"),
function(x, count_threshold) {
ts <- transitions(x)
ts[transition(x, ts, type = "counts", prior = FALSE) <= count_threshold, ]
})
```

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