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>.

Version:	0.2.5
Depends:	R (≥ 4.1.0)
Imports:	ordinal (≥ 2016-12-12), crayon, stats
Suggests:	covr, testthat, tibble, vctrs, pkgdown, VGAM (≥ 1.1-10)
Published:	2024-11-25
DOI:	10.32614/CRAN.package.serp
Author:	Ejike R. Ugba [aut, cre, cph]
Maintainer:	Ejike R. Ugba <ejike.ugba at outlook.com>
BugReports:	https://github.com/ejikeugba/serp/issues
License:	GPL-2
URL:	https://github.com/ejikeugba/serp
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	serp results

Documentation:

Reference manual:

serp.pdf

Downloads:

Package source:	serp_0.2.5.tar.gz
Windows binaries:	r-devel: serp_0.2.5.zip, r-release: serp_0.2.5.zip, r-oldrel: serp_0.2.5.zip
macOS binaries:	r-release (arm64): serp_0.2.5.tgz, r-oldrel (arm64): serp_0.2.5.tgz, r-release (x86_64): serp_0.2.5.tgz, r-oldrel (x86_64): serp_0.2.5.tgz
Old sources:	serp archive

Reverse dependencies:

Reverse suggests:

gofcat, insight, parameters

Linking:

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