OHPL: FOP – R documentation

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FOP

Fisher Optimal Partition

The Fisher optimal partition algorithm.

FOP(X, k, C)

`X`	a set of samples
`k`	number of classes
`C`	statistic from the output of `dlc`

index vector for each sample's classification

W. D. Fisher (1958). On grouping for maximum homogeneity. Journal of the American Statistical Association, vol. 53, pp. 789–798.

X <- matrix(c(
  9.3, 1.8, 1.9, 1.7, 1.5, 1.3,
  1.4, 2.0, 1.9, 2.3, 2.1
))
C <- dlc(X, maxk = 8)$C
F <- FOP(X, 8, C)

Ordered Homogeneity Pursuit Lasso for Group Variable Selection

v1.4

GPL-3 | file LICENSE

Authors

You-Wu Lin [aut], Nan Xiao [cre] (<https://orcid.org/0000-0002-0250-5673>)

Initial release