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 |
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