qcpm

Implements the Quantile Composite-based Path Modeling approach (Davino and Vinzi, 2016 doi:10.1007/s11634-015-0231-9; Dolce et al., 2021 doi:10.1007/s11634-021-00469-0). 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.