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.

Version: 0.2
Depends: R (≥ 3.5.0)
Imports: quantreg, cSEM, broom
Published: 2022-04-06
Author: Giuseppe Lamberti [aut, cre], Cristina Davino [ctb], Pasquale Dolce [ctb], Domenico Vistocco [ctb]
Maintainer: Giuseppe Lamberti <giuseppelamb at hotmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: qcpm results


Reference manual: qcpm.pdf


Package source: qcpm_0.2.tar.gz
Windows binaries: r-devel: qcpm_0.2.zip, r-release: qcpm_0.2.zip, r-oldrel: qcpm_0.2.zip
macOS binaries: r-release (arm64): qcpm_0.2.tgz, r-oldrel (arm64): qcpm_0.2.tgz, r-release (x86_64): qcpm_0.2.tgz, r-oldrel (x86_64): qcpm_0.2.tgz
Old sources: qcpm archive


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