divergence.multivariate.distributions {fCI}R Documentation

estimate fCI divergence for given samples of aritrary dimensions

Description

estimate fCI divergence for given samples of aritrary dimensions

Usage

divergence.multivariate.distributions(null.data, diff.data, choice = 2)

Arguments

null.data

the empirical null dataset (a dataframe of none-zero ratio values)

diff.data

the case-control dataset (a dataframe of none-zero ratio values)

choice

choice=1 => cross entropy choice=2 => Helligan distance choice=3 => KL distance

Details

TBD

Value

divergences

The estimated divergence given control-control and case- control expression ratios

Note

TBD

Author(s)

Shaojun Tang

References

http://software.steenlab.org/fCI/

See Also

TBD

Examples


null.data=data.frame(matrix(sample(seq(from=0.1,to=10, by=0.01), 100), 100,1))
diff.data=data.frame(matrix(sample(seq(from=0.1,to=10, by=0.01), 100), 100,1))
divergence.multivariate.distributions(null.data, diff.data, choice = 2)


[Package fCI version 1.14.0 Index]