simplePLS: seminr simplePLS Function
In seminr: Building and Estimating Structural Equation Models

simplePLS

R Documentation

seminr simplePLS Function

Description

The seminr package provides a natural syntax for researchers to describe PLS structural equation models. seminr is compatible with simplePLS. simplePLS provides the verb for estimating a pls model.

Usage

simplePLS(obsData,smMatrix, mmMatrix,inner_weights = path_weighting,
          maxIt=300, stopCriterion=7,measurement_mode_scheme)

Arguments

`obsData`	A `dataframe` containing the indicator measurement data.
`smMatrix`	A source-to-target matrix representing the inner/structural model, generated by `relationships`.
`mmMatrix`	A source-to-target matrix representing the outer/measurement model, generated by `constructs`.
`inner_weights`	A parameter declaring which inner weighting scheme should be used path_weighting is default, alternately path_factorial can be used.
`maxIt`	The maximum number of iterations to run (default is 300).
`stopCriterion`	The criterion to stop iterating (default is 7).
`measurement_mode_scheme`	A named list of constructs and measurement scheme functions

Value

A list of the estimated parameters for the SimplePLS model including:

`meanData`	A vector of the indicator means.
`sdData`	A vector of the indicator standard deviations
`mmMatrix`	A Matrix of the measurement model relations.
`smMatrix`	A Matrix of the structural model relations.
`constructs`	A vector of the construct names.
`mmVariables`	A vector of the indicator names.
`outer_loadings`	The matrix of estimated indicator loadings.
`outer_weights`	The matrix of estimated indicator weights.
`path_coef`	The matrix of estimated structural model relationships.
`iterations`	A numeric indicating the number of iterations required before the algorithm converged.
`weightDiff`	A numeric indicating the minimum weight difference between iterations of the algorithm.
`construct_scores`	A matrix of the estimated construct scores for the PLS model.
`rSquared`	A matrix of the estimated R Squared for each construct.
`inner_weights`	The inner weight estimation function.

Examples

#seminr syntax for creating measurement model
mobi_mm <- constructs(
             reflective("Image",        multi_items("IMAG", 1:5)),
             reflective("Expectation",  multi_items("CUEX", 1:3)),
             reflective("Quality",      multi_items("PERQ", 1:7)),
             reflective("Value",        multi_items("PERV", 1:2)),
             reflective("Satisfaction", multi_items("CUSA", 1:3)),
             reflective("Complaints",   single_item("CUSCO")),
             reflective("Loyalty",      multi_items("CUSL", 1:3))
           )
#seminr syntax for creating structural model
mobi_sm <- relationships(
  paths(from = "Image",        to = c("Expectation", "Satisfaction", "Loyalty")),
  paths(from = "Expectation",  to = c("Quality", "Value", "Satisfaction")),
  paths(from = "Quality",      to = c("Value", "Satisfaction")),
  paths(from = "Value",        to = c("Satisfaction")),
  paths(from = "Satisfaction", to = c("Complaints", "Loyalty")),
  paths(from = "Complaints",   to = "Loyalty")
)

mobi_pls <- estimate_pls(data = mobi,
                           measurement_model = mobi_mm,
                           structural_model = mobi_sm)

seminr documentation built on Oct. 13, 2022, 1:05 a.m.