Internal: Calculate PLSc correction factors
Calculates the correction factor used by PLSc.
calculateCorrectionFactors( .S = args_default()$.S, .W = args_default()$.W, .modes = args_default()$.modes, .csem_model = args_default()$.csem_model, .PLS_approach_cf = args_default()$.PLS_approach_cf )
.S |
The (K x K) empirical indicator correlation matrix. |
.W |
A (J x K) matrix of weights. |
.modes |
A vector giving the mode for each construct in the form |
.csem_model |
A (possibly incomplete) cSEMModel-list. |
.PLS_approach_cf |
Character string. Approach used to obtain the correction
factors for PLSc. One of: "dist_squared_euclid", "dist_euclid_weighted",
"fisher_transformed", "mean_arithmetic", "mean_geometric", "mean_harmonic",
"geo_of_harmonic". Defaults to "dist_squared_euclid".
Ignored if |
Currently, seven approaches are available:
"dist_squared_euclid" (default)
"dist_euclid_weighted"
"fisher_transformed"
"mean_geometric"
"mean_harmonic"
"mean_arithmetic"
"geo_of_harmonic" (not yet implemented)
See (Dijkstra 2013) for details.
A numeric vector of correction factors with element names equal to the names of the J constructs used in the measurement model.
Dijkstra TK (2013). “A Note on How to Make Partial Least Squares Consistent.” Working Paper. doi: 10.13140/RG.2.1.4547.5688, https://doi.org/10.13140/RG.2.1.4547.5688.
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