The matrixpls method for the generic function cr computes Composite Reliability
indices for the model using the formula presented by Fornell and Larcker (1981).
cr(object, ...)matrixpls estimation result object produced by the matrixpls function.
All other arguments are ignored.
A named numeric vector containing the Composite Reliability indices.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39<U+2013>50.
Aguirre-Urreta, M. I., Marakas, G. M., & Ellis, M. E. (2013). Measurement of composite reliability in research using partial least squares: Some issues and an alternative approach. The DATA BASE for Advances in Information Systems, 44(4), 11<U+2013>43. 10.1145/2544415.2544417DOI:10.1145/2544415.2544417
Other post-estimation functions:
ave(),
cei(),
effects.matrixpls(),
fitSummary(),
fitted.matrixpls(),
gof(),
htmt(),
loadings(),
predict.matrixpls(),
r2(),
residuals.matrixpls()