semPLSModelSelection: Structural Equation Modeling Using Partial Least Squares

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This package contains various Information Theoretic model selection criteria that can be used to compare and select models using PLS based SEM.

Author
Armin Monecke [aut, cph, cre], Pratyush Nidhi Sharma [aut], Kevin Hyunkyung Kim [aut]
Date of publication
2013-01-23 18:18:55
Maintainer
Armin Monecke <armin.monecke@stat.uni-muenchen.de>
License
GPL-2
Version
0.1-0

View on R-Forge

Man pages

ic
Information Criteria for PLS Path Models
ic_exhaustive
Exhaustive Information Criteria for PLS Path Models

Files in this package

semPLSModelSelection
semPLSModelSelection/R
semPLSModelSelection/R/exhaustive.R
semPLSModelSelection/R/allmain.R
semPLSModelSelection/R/infCriteria.R
semPLSModelSelection/NAMESPACE
semPLSModelSelection/inst
semPLSModelSelection/inst/Ex-infCriteria.R
semPLSModelSelection/DESCRIPTION
semPLSModelSelection/man
semPLSModelSelection/man/ic_exhaustive.Rd
semPLSModelSelection/man/ic.Rd
semPLSModelSelection/NEWS