matrixpls-functions: All estimation function types
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