splitopt: Best partition for a specific segmentation variable

In genpathmox: Pathmox Approach Segmentation Tree Analysis

Best partition for a specific segmentation variable

Description

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Usage

splitopt(x, inner, .model, .scheme, .consistent, splits, fact, size_candidate)

Arguments

x	matrix or data frame containing the manifest variables.
inner	a square (lower triangular) boolean matrix representing the inner model (i.e. the path relationships between latent variables)
.model	A description of the user-specified model.
.scheme	string indicating the type of inner weighting scheme. Possible values are "centroid", "factorial", or "path".
.consistent	Logical. Should composite/proxy correlations be disattenuated to yield consistent loadings and path estimates if at least one of the construct is modeled as a common factor. Defaults to TRUE.
splits	vector indicating the binary partition.
fact	vector indicating the categorical variable.
size_candidate	number indicating the minimum threshold for a node.

Details

Internal function

Value

a list containing information about the bets partition for a specific segmentation variable.

genpathmox documentation built on Oct. 26, 2023, 5:08 p.m.