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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 |
| 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 |
| Reference manual: | rplam.html , rplam.pdf |
| Package source: | rplam_1.0.2.tar.gz |
| Windows binaries: | r-devel: rplam_1.0.2.zip, r-release: rplam_1.0.2.zip, 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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