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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "serp" in publications use:'
type: software
license: GPL-2.0-only
title: 'serp: Smooth Effects on Response Penalty for CLM'
version: 0.2.5
doi: 10.32614/CRAN.package.serp
abstract: 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) <https://doi.org/10.21105/joss.03705> and Ugba et al. (2021)
  <https://doi.org/10.3390/stats4030037>.
authors:
- family-names: Ugba
  given-names: Ejike R.
  email: ejike.ugba@outlook.com
  orcid: https://orcid.org/0000-0003-2572-0023
repository: https://CRAN.R-project.org/package=serp
repository-code: https://github.com/ejikeugba/serp
url: https://github.com/ejikeugba/serp
date-released: '2024-11-25'
contact:
- family-names: Ugba
  given-names: Ejike R.
  email: ejike.ugba@outlook.com
  orcid: https://orcid.org/0000-0003-2572-0023