Simulation, Estimation and Segmentation of Composite Based Structural Equation Models


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Documentation for package ‘cbsem’ version 1.0.0

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averageR2w For use in boottestgscm.
boottestgscm Testing two segmentations of a GSC model
checkw Checking composite based SE models if there are weights in accordance with the loadings and the covariance matrix of the composites
clustergscairls Clustering gsc-models
FlDeriv 'FlDeriv'compute the Jacobian of the Fleishman transform for a given set of coefficients b,c,d
Fleishman 'Fleishman' computes the variance, skewness and kurtosis for a given set of of coefficients b,c,d for the Fleishman transform
FleishmanIC Functions to generate nonnormal distributed multivariate random vectors with mean=0, var=1 and given correlations and coefficients of skewness and excess kurtosis. This is done with the method of Vale & Morelli: The coefficients of the Fleishman transform Y = -c + bX +cX^2 + dX^3 are computed. from given skewness gamma[1] = E(Y^3) and kurtosis gamma[2] = E(Y^4) - 3. A indermediate correlation matrix is computed from the desired correlation matrix and the Fleishman coefficients. A singular value decomposition of the indermediate correlation matrix is performed and a matrix of independend normal random numbers is generated and transformed into correlated ones. Finally the Fleishman transform is applied to the columns of this data matrix.
gscals Estimating GSC models belonging to scenarios reflective-reflective, formative-reflective and formative-formative
gscalsout Output of gscals for the simplemodel data.
gscalsresid For use in clustergscairls, residuals of a gsc-model
gscmcov Determination of the covariance matrix of a GSC model belonging to scenario 1, scenario 2, scenario 3
gscmcovff 'gscmcovff' determines the covariance matrix of a GSC model belonging to scenario ff.
gscmcovfr 'gscmcovfr' determines the covariance matrix of a GSC model belonging to scenario fr. The covariance matrices of the errors are supposed to be diagonal.
gscmcovout Output of covgscmodel for the simplemodel data.
gscmcovrr 'gscmcovrr' determines the covariance matrix of a GSC model belonging to scenario rr.
mobi250 Mobile phone data for the ECSI model.
NewtonFl 'NewtonFl' Newton's method to find roots of the function FlFunc.
plspath Estimation of pls-path models
poloecfree Political and economical freedom.
rValeMaurelli 'rValeMaurelli' Simulate data from a multivariate nonnormal distribution such that 1) Each marginal distribution has a specified skewness and kurtosis 2) The marginal variables have the correlation matrix R
simplemodel Simulated data.
SolveCorr 'SolveCorr' Solve the Vale-Maurelli cubic equation to find the intermediate correlation between two normal variables that gives rise to a target correlation (rho) between the two transformed nonnormal variables.
subcheckw Function for use in checkw
twoclm Simulated data.
VMTargetCorr 'VMTargetCorr' Given a target correlation matrix, R, and target values of skewness and kurtosis for each marginal distribution, find the "intermediate" correlation matrix, V