serp
Smooth Effects on Response Penalty for CLM
Implements a regularization method for cumulative link models using the Smooth-Effect-on-Response Penalty (SERP). This method allows flexible modeling of ordinal data by enabling a smooth transition from a general cumulative link model to a simplified version of the same model. As the tuning parameter increases from zero to infinity, the subject-specific effects for each variable converge to a single global effect. The approach addresses common issues in cumulative link models, such as parameter unidentifiability and numerical instability, by maximizing a penalized log-likelihood instead of the standard non-penalized version. Fitting is performed using a modified Newton's method. Additionally, the package includes various model performance metrics and descriptive tools. For details on the implemented penalty method, see Ugba (2021) <doi:10.21105/joss.03705> and Ugba et al. (2021) <doi:10.3390/stats4030037>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.5 |
rolling linux/jammy R-4.5 | serp_0.2.5.tar.gz |
173.9 KiB |
0.2.5 |
rolling linux/noble R-4.5 | serp_0.2.5.tar.gz |
173.7 KiB |
0.2.5 |
rolling source/ R- | serp_0.2.5.tar.gz |
75.2 KiB |
0.2.5 |
latest linux/jammy R-4.5 | serp_0.2.5.tar.gz |
173.9 KiB |
0.2.5 |
latest linux/noble R-4.5 | serp_0.2.5.tar.gz |
173.7 KiB |
0.2.5 |
latest source/ R- | serp_0.2.5.tar.gz |
75.2 KiB |
0.2.5 |
2026-04-26 source/ R- | serp_0.2.5.tar.gz |
75.2 KiB |
0.2.5 |
2026-04-23 source/ R- | serp_0.2.5.tar.gz |
75.2 KiB |
0.2.5 |
2026-04-09 windows/windows R-4.5 | serp_0.2.5.zip |
177.0 KiB |
0.2.5 |
2025-04-20 source/ R- | serp_0.2.5.tar.gz |
75.2 KiB |