Package: rplam
Type: Package
Title: Robust Estimators for Partially Linear Additive Models
Version: 1.0.2
Authors@R: 
    person(given = "Alejandra Mercedes",
       family = "Martínez",
       role = c("aut", "cre"),
       email = "ale_m_martinez@hotmail.com")
Description: 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.
License: GPL-3
Imports: fda, stats, robustbase
Suggests: knitr, rmarkdown
Encoding: UTF-8
Config/roxygen2/version: 8.1.0
NeedsCompilation: yes
Packaged: 2026-10-22 22:59:37 UTC; alejandra
Author: Alejandra Mercedes Martínez [aut, cre]
Maintainer: Alejandra Mercedes Martínez <ale_m_martinez@hotmail.com>
Repository: CRAN
Date/Publication: 2026-11-06 12:30:02 UTC
