This package performs Co-clustering of binary, contingency, continuous and categorical data-sets.

This package performs Co-clustering of binary, contingency, continuous and
categorical data-sets with utility functions to visualize the Co-clustered
data. The package contains a set of functions `coclusterBinary`

,
`coclusterCategorical`

, `coclusterContingency`

,
`coclusterContinuous`

which perform Co-clustering on various
kinds of data-sets and return object of appropriate class (refer to
documentation of these functions. The package also contains function
`coclusterStrategy`

(see documentation of function to know
various slots) which returns an object of class `strategy`

.
This object can be given as input to co-clustering functions to control
various Co-clustering parameters. Please refer to testmodels.R file which is
included in "test" directory to see examples with various models and
simulated data-sets.

The package also provide utility functions like summary() and plot() to summarize results and plot the original and Co-clustered data respectively.

1 2 3 4 5 6 7 8 9 | ```
## Simple example with simulated binary data
## load data
data(binarydata)
## usage of coclusterBinary function in its most simplest form
out<-coclusterBinary(binarydata,nbcocluster=c(2,3))
#" Summarize the output results
summary(out)
## Plot the original and Co-clustered data
plot(out)
``` |

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