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
)
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"
The (K x K) empirical indicator correlation matrix.
A (possibly incomplete) cSEMModel-list.
Character string. The Kettenring approach to use for GCCA. One of "SUMCORR", "MAXVAR", "SSQCORR", "MINVAR" or "GENVAR". Defaults to "SUMCORR".