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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4 |
rolling linux/jammy R-4.5 | qcpm_0.4.tar.gz |
109.4 KiB |
0.4 |
rolling linux/noble R-4.5 | qcpm_0.4.tar.gz |
109.4 KiB |
0.4 |
rolling source/ R- | qcpm_0.4.tar.gz |
36.1 KiB |
0.4 |
latest linux/jammy R-4.5 | qcpm_0.4.tar.gz |
109.4 KiB |
0.4 |
latest linux/noble R-4.5 | qcpm_0.4.tar.gz |
109.4 KiB |
0.4 |
latest source/ R- | qcpm_0.4.tar.gz |
36.1 KiB |
0.4 |
2026-04-26 source/ R- | qcpm_0.4.tar.gz |
36.1 KiB |
0.4 |
2026-04-23 source/ R- | qcpm_0.4.tar.gz |
36.1 KiB |
0.4 |
2026-04-09 windows/windows R-4.5 | qcpm_0.4.zip |
112.5 KiB |
0.4 |
2025-04-20 source/ R- | qcpm_0.4.tar.gz |
36.1 KiB |