Calculate composite weights using GCCA

Source: R/estimators_weights.R

Calculates composite weights according to one of the the five criteria "SUMCORR", "MAXVAR", "SSQCORR", "MINVAR", and "GENVAR" suggested by Kettenring1971;textualcSEM.

calculateWeightsKettenring(
  .S              = args_default()$.S, 
  .csem_model     = args_default()$.csem_model,   
  .approach_gcca  = args_default()$.approach_gcca
  )

Arguments

.S

The (K x K) empirical indicator correlation matrix.

.csem_model

A (possibly incomplete) cSEMModel-list.

.approach_gcca

Character string. The Kettenring approach to use for GCCA. One of "SUMCORR", "MAXVAR", "SSQCORR", "MINVAR" or "GENVAR". Defaults to "SUMCORR".

Value

A named list. J stands for the number of constructs and K for the number of indicators.

$W

A (J x K) matrix of estimated weights.

$E

NULL

$Modes

The GCCA mode used for the estimation.

$Conv_status

The convergence status. TRUE if the algorithm has converged and FALSE otherwise. For .approach_gcca = "MINVAR" or .approach_gcca = "MAXVAR" the convergence status is NULL since both are closed-form estimators.

$Iterations

The number of iterations required. 0 for .approach_gcca = "MINVAR" or .approach_gcca = "MAXVAR"

References