TY - ADVS
T1 - qcpm R package
T2 - qcpm: Quantile Composite Path Modeling
AU - Lamberti , Giuseppe
A2 - Davino, Cristina
A2 - Vistocco, Domenico
A2 - Dolce, Pasquale
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
M3 - Software
ER -