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| binned.kernel.est | Kernel Density Estimation |
| CE | Shannon's Conditional-Entropy H(X | Y) |
| dist.diversity | Distance Diversity between Probability Density Functions |
| distance | Distances between Probability Density Functions |
| estimate.probability | Estimate Probability Vectors From Count Vectors |
| getDistMethods | Get method names for 'distance' |
| gJSD | Generalized Jensen-Shannon Divergence |
| H | Shannon's Entropy H(X) |
| JE | Shannon's Joint-Entropy H(X,Y) |
| JSD | Jensen-Shannon Divergence |
| KL | Kullback-Leibler Divergence |
| lin.cor | Linear Correlation |
| MI | Shannon's Mutual Information I(X,Y) |