Quantile Composite Path Modeling

Implements the Quantile Composite-based Path Modeling approach (Davino and Vinzi, 2016 ; Dolce et al., 2021 ). The method complements the traditional PLS Path Modeling approach, analyzing the entire distribution of outcome variables and, therefore, overcoming the classical exploration of only average effects. It exploits quantile regression to investigate changes in the relationships among constructs and between constructs and observed variables.


Reference manual

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install.packages("qcpm")

0.4 by Giuseppe Lamberti, 2 years ago


Browse source code at https://github.com/cran/qcpm


Authors: Giuseppe Lamberti [aut, cre] , Cristina Davino [ctb] , Pasquale Dolce [ctb] , Domenico Vistocco [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports quantreg, cSEM, broom


See at CRAN