splitopt {genpathmox} | R Documentation |
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 |
.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.