robustHD: An R package for robust regression with high-dimensional data

DOI

Robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression.This is version 0.7.1 corresponding to the publication in the Journal of Open Source Software.

This entry is a one hundred and twenty-two-file data package totaling 3.6 MB, containing files in , .pdf, .c, .R, .Rmd, .md, .Rd, .bib, .win, .cpp, .svg, .RData, .Rproj and .h formats.If you use this dataset, please cite: Alfons, Andreas (2021). robustHD: An R package for robust regression with high-dimensional data. Erasmus University Rotterdam (EUR). Software. https://doi.org/10.25397/eur.16802596

Identifier
DOI https://doi.org/10.34894/YF40LD
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/YF40LD
Provenance
Creator Alfons, Andreas ORCID logo
Publisher DataverseNL
Contributor Alfons, Andreas
Publication Year 2025
Funding Reference [Funder Name: Dutch Research Council; Grant Label: Robust analysis of (big) rating-scale data in the social sciences; Grant URL: https://app.dimensions.ai/details/grant/grant.9462293] [Grant Code: VI.Vidi.195.141]
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Alfons, Andreas (Erasmus School of Economics <https://ror.org/057w15z03>)
Representation
Resource Type Dataset
Format type/x-r-syntax; application/octet-stream; text/x-c; text/plain; charset=US-ASCII; image/svg+xml; application/pdf; application/gzip; text/markdown; text/x-r-notebook
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Version 1.0
Discipline Other