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| absoluteEntropy | Univariate Informationtheoretic Measures |
| align | Cluster aligning/comparing |
| align.default | Cluster aligning/comparing |
| approxMarginInfo | Univariate "Informatorial" Measures |
| centerring | Artificial dataset: centerring |
| CIC | MMCC Evaluation |
| cic | MMCC Evaluation |
| clusteration | Cluster combinations |
| combination | Combinations |
| compare | Cluster aligning/comparing |
| compare.default | Cluster aligning/comparing |
| conflict | Artificial dataset: conflict |
| cophenetic | Artificial dataset: cophenetic |
| densityEntropy | Univariate Informationtheoretic Measures |
| distEntropy | Entropy distance between variables |
| distributionEntropy | Univariate Informationtheoretic Measures |
| exactMarginInfo | Univariate "Informatorial" Measures |
| extremegroup | Artificial dataset: extremegroup |
| flipper | Artificial dataset: flipper |
| GSD | MMCC Evaluation |
| gsd | MMCC Evaluation |
| hierarchic | Artificial dataset: hierarchic |
| KullbackLeibler | Multivariate Informationtheoretic Measures |
| labelation | Margin combinations |
| laplaceInformation | Univariate Informationtheoretic Measures |
| laplaceProbability | Univariate Informationtheoretic Measures |
| ldlabelation | Margin combinations |
| ldmargination | Margin combinations |
| lnlabelation | Margin combinations |
| lnmargination | Margin combinations |
| margination | Margin combinations |
| matchcalcs | Matching for cross-tables |
| matchindex | Matching for cross-tables |
| matchtable | Matching for cross-tables |
| MMCC | MMCC Evaluation |
| mmcc | MMCC Evaluation |
| mmcc2cluster | MMCC Evaluation |
| mmcc2mmcp | MMCC Evaluation |
| mmcp2ALL | MMCC Evaluation |
| mmcp2CIC | MMCC Evaluation |
| mmcp2cic | MMCC Evaluation |
| mmcp2D | MMCC Evaluation |
| mmcp2d | MMCC Evaluation |
| mmcp2GSD | MMCC Evaluation |
| mmcp2gsd | MMCC Evaluation |
| mmcp2H | MMCC Evaluation |
| mmcp2h | MMCC Evaluation |
| mmcp2I | MMCC Evaluation |
| mmcp2i | MMCC Evaluation |
| mmcp2pk | MMCC Evaluation |
| mmcp2RMC | MMCC Evaluation |
| munkres | Hungarian method for rectangular cost matrices |
| nclusteration | Cluster combinations |
| ncombination | Combinations |
| nlabelation | Margin combinations |
| nmargination | Margin combinations |
| noflipper | Artificial dataset: noflipper |
| normalizedEntropy | Univariate Informationtheoretic Measures |
| npermutation | Permutations |
| permutation | Permutations |
| plotTwowayEntropy | Bivariate Informationtheoretic Measures |
| print.clusteration | Cluster combinations |
| printTwowayEntropy | Bivariate Informationtheoretic Measures |
| redundancy | Univariate Informationtheoretic Measures |
| SASmodeclus | Artificial dataset: SASmodeclus |
| shannonInformation | Univariate Informationtheoretic Measures |
| spiral | Artificial dataset: spiral |
| symflipper | Artificial dataset: symflipper |
| tieorder | Ordering double breaking ties at random |
| twowayEntropy | Bivariate Informationtheoretic Measures |