All estimation function types

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Description

The following describes all estimation function types used in matrixpls package.

Arguments

weightFun

A function for calculating indicator weights using the data covariance matrix S, a model specification model, and a weight pattern W.model. Returns a weigth matrix W. The default is weightFun.pls

parameterEstim

A function for estimating the model parameters using the data covariance matrix S, model specification model, and weight matrix W. Returns a named vector of parameter estimates. The default is parameterEstim.separate

estimator

A function for estimating the parameters of one model matrix using the data covariance matrix S, a model matrix modelMatrix, and a weight matrix W. Disattenuated composite correlation matrix C and indicator composite covariance matrix IC are optional. Returns matrix of parameter estimates. The default is estimator.ols

weightSign

A function for resolving weight sign ambiquity based on the data covariance matrix S and a weight matrix W. Returns a weigth matrix W. See weightSign for details.

outerEstim

A function for calculating outer weights using the data covariance matrix S, a weight matrix W, an inner weight matrix E, and a weight pattern W.model. Returns a weigth matrix W. See outerEstim.

innerEstim

A function for calculating inner weights using the data covariance matrix S, a weight matrix W, and an inner model matrix inner.mod. Returns an inner weigth matrix E. The default is innerEstim.path.

convCheck

A function that takes the old Wold and new weight Wold matrices and returns a scalar that is compared against tol to check for convergence. The default is convCheck.absolute.

optimCrit

A function for calculating value for an optimization criterion based on a matrixpls result object. Returns a scalar. The default is optimCrit.maximizeInnerR2.

reliabilities

A function for calculating reliability estimates based on the data covariance matrix S, factor loading matrix loadings, and a weight matrix W. Returns a vector of reliability estimates. The default is reliabilityEstim.weightLoadingProduct

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