rplam: Robust Estimators for Partially Linear Additive Models

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) <doi: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.

Version:	1.0.2
Imports:	fda, stats, robustbase
Suggests:	knitr, rmarkdown
Published:	2026-11-06
DOI:	10.32614/CRAN.package.rplam (may not be active yet)
Author:	Alejandra Mercedes Martínez [aut, cre]
Maintainer:	Alejandra Mercedes Martínez <ale_m_martinez at hotmail.com>
License:	GPL-3
NeedsCompilation:	yes
CRAN checks:	rplam results

Documentation:

Reference manual:

rplam.html , rplam.pdf

Downloads:

Package source:	rplam_1.0.2.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: rplam_1.0.2.zip
macOS binaries:	r-release (arm64): rplam_1.0.2.tgz, r-oldrel (arm64): rplam_1.0.2.tgz, r-release (x86_64): rplam_1.0.2.tgz, r-oldrel (x86_64): rplam_1.0.2.tgz

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