HDclust: vbSearchControl – R documentation

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vbSearchControl

Parameters for variable block structure search.

Description

This function creates a list with parameters for the search of a variable block structure used as an argument for hmmvbTrain.

Usage

vbSearchControl(perm = NULL, numstPerDim = NULL, dim = NULL,
  maxDim = 10, minDim = 1, nperm = 1, relax = FALSE)

Arguments

`perm`	A list of integer vectors specifying variable permutations. If provided, the argument `dim` must be supplied.
`numstPerDim`	An integer vector of length `maxDim` specifying a map from the variable block dimensionality to the number of states in the block. kth value in the vector corresponds to number of states for dimensionality k.
`dim`	Data dimensionality. Must be provided with `perm` argument, otherwise is ignored.
`maxDim`	Maximum variable block dimension.
`minDim`	Minimum variable block dimension. Should be an integer equal to 1 or 2.
`nperm`	The number of variable permutations. This parameter is ignored if permutations are provided in `perm` argument.
`relax`	A logical value indicating whether or not variable block structure search will be performed under less restricting conditions.

Value

The named list with parameters.

Examples

# setting up permutations
perm <- list(c(1,2,3), c(1,3,2), c(3,2,1))
searchControl <- vbSearchControl(perm=perm, dim=3)

# setting up a map between block dimensionality and number of states
searchControl <- vbSearchControl(maxDim=5, numstPerDim=c(3,4,5,6,7))

HDclust

Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks

v1.0.3

GPL (>= 2)

Authors

Yevhen Tupikov [aut], Lin Lin [aut], Lixiang Zhang [aut], Jia Li [aut, cre]

Initial release

2019-04-05