calculateWeightsKettenring {cSEM} | R Documentation |

## Calculate composite weights using GCCA

### Description

Calculates composite weights according to one of the the five criteria
"*SUMCORR*", "*MAXVAR*", "*SSQCORR*", "*MINVAR*", and "*GENVAR*"
suggested by Kettenring (1971).

### Usage

```
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
" |

### 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

Kettenring JR (1971).
“Canonical Analysis of Several Sets of Variables.”
*Biometrika*, **58**(3), 433–451.

*cSEM*version 0.5.0 Index]