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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "rplam" in publications use:'
type: software
license: GPL-3.0-only
title: 'rplam: Robust Estimators for Partially Linear Additive Models'
version: 1.0.2
abstract: Robust estimation for partially linear additive models based on B-splines.
  The package implements a robust proposal that combines robust linear MM-regression
  estimators, which use an initial S-estimator followed by an M-estimation step with
  fixed scale, and B-spline approximations. The M-estimation step uses Tukey's bisquare
  function. The least-squares counterpart is also implemented. See Boente and Martínez
  (2023) <https://doi.org/10.1016/j.csda.2022.107611> for more details. The package
  also provides robust and least-squares estimators for additive models, that is,
  when the covariates enter only the nonparametric component of the model.
authors:
- family-names: Martínez
  given-names: Alejandra Mercedes
  email: ale_m_martinez@hotmail.com
repository: https://cran.r-universe.dev
commit: 11c16aa801316d5360657bc00a52fdf0184c3648
date-released: '2026-11-06'
contact:
- family-names: Martínez
  given-names: Alejandra Mercedes
  email: ale_m_martinez@hotmail.com