Lists all stability measures of package stabm and provides information about them.

listStabilityMeasures()

Value

data.frame
For each stability measure, its name, the information, whether it is corrected for chance by definition, the information, whether it is adjusted for similar features, its minimal value and its maximal value are displayed.

Note

The given minimal values might only be reachable in some scenarios, e.g. if the feature sets have a certain size. The measures which are not corrected for chance by definition can be corrected for chance with correction.for.chance. This however changes the minimal value. For the adjusted stability measures, the minimal value depends on the similarity structure.

Examples

listStabilityMeasures()
#> Name Corrected Adjusted Minimum Maximum #> 1 stabilityDavis FALSE FALSE 0 1 #> 2 stabilityDice FALSE FALSE 0 1 #> 3 stabilityHamming FALSE FALSE 0 1 #> 4 stabilityIntersectionCount TRUE TRUE <NA> 1 #> 5 stabilityIntersectionGreedy TRUE TRUE <NA> 1 #> 6 stabilityIntersectionMBM TRUE TRUE <NA> 1 #> 7 stabilityIntersectionMean TRUE TRUE <NA> 1 #> 8 stabilityJaccard FALSE FALSE 0 1 #> 9 stabilityKappa TRUE FALSE -1 1 #> 10 stabilityLustgarten TRUE FALSE -1 1 #> 11 stabilityNogueira TRUE FALSE -1 1 #> 12 stabilityNovovicova FALSE FALSE 0 1 #> 13 stabilityOchiai FALSE FALSE 0 1 #> 14 stabilityPhi TRUE FALSE -1 1 #> 15 stabilitySechidis FALSE TRUE <NA> NA #> 16 stabilitySomol TRUE FALSE 0 1 #> 17 stabilityUnadjusted TRUE FALSE -1 1 #> 18 stabilityWald TRUE FALSE 1-p 1 #> 19 stabilityYu TRUE TRUE <NA> 1 #> 20 stabilityZucknick FALSE TRUE 0 1