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 1.18.0 Index]