Description Usage Arguments Value Examples
View source: R/CovGSCmodel_rr.r
gscmcovrr
determines the covariance matrix of a GSC model belonging to scenario rr.
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 |
lambdax |
vector of loadings of indicators for exogenous composites |
lambday |
vector of loadings of indicators for endogenous 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 |
Sdd | diagonal matrix of variances of errors of X variable loadings |
See | diagonal matrix of variances of errors of Y variable loadings |
1 2 3 4 5 6 7 |
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