qcpm: Quantile Composite Path Modeling

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.

Getting started

Package details

AuthorGiuseppe Lamberti [aut, cre], Cristina Davino [ctb], Pasquale Dolce [ctb], Domenico Vistocco [ctb]
MaintainerGiuseppe Lamberti <giuseppelamb@hotmail.com>
LicenseGPL-3
Version0.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("qcpm")

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qcpm documentation built on Sept. 11, 2024, 8:59 p.m.