Description Usage Arguments Value Examples

View source: R/CovGSCmodel_fr.r

`gscmcovfr`

determines the covariance matrix of a GSC model belonging to scenario fr. The covariance matrices of the errors
are supposed to be diagonal.

1 |

`B` |
(q,q) lower triangular matrix describing the interrelations of the latent variables: b_ij = 1 regression coefficient of eta_j in the regression relation in which eta_i is the depend variable b_ij = 0 if eta_i does not depend on eta_j in a direct way (b_ii = 0 !) |

`indicatorx` |
vector describing with which exogenous composite the X-variables are connected |

`indicatory` |
vector describing with which endogenous composite the Y-variables are connected |

`lambday` |
vector of loadings of indicators for endogenous composites |

`wx` |
vector of weights for building exogenous composites |

`Sxixi` |
covariance matrix of exogenous composites |

`R2` |
vector of coefficients of determination for regressions belonging to the structural model |

out list with components

S | covariance matrix of manifest variables |

B | (q,q) lower triangular matrix with possibly modified coefficients of the structural model |

Scomp | covariance matrix of composites |

wx | vector of weights for building exogenous composites |

See | diagonal matrix of variances of errors of Y variable loadings or NA |

1 2 3 4 5 6 7 |

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