myKLdivergenece: myKLdivergenece
In BANFF: Bayesian Network Feature Finder

Compute Kullback Leibler divergence between biologic null distribution vs. proposed null distribution

1 2	myKLdivergenece(nulldens, dens, integral = c(-6, 6), precision = 0.001, method = c("MixNorm", "biGaussianMean0"))

`nulldens`	A list, mu: mean location for each of normal density; sd: sd value for each of normal density; proportion: proportion for each normal density.
`dens`	A list, mu: mean location for each of normal density; sd: sd value for each of normal density; proportion: proportion for each normal density.
`integral`	A two element vector, the first element is integration lower bound; the second element is integration upper bound.
`precision`	A number. The numerical precision for integration calculating. Default=0.001
`method`	The way proposal density is calculated from wether it is "MixNorm" or "biGaussianMean0".