Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). EBglmnet: a comprehensive R package for sparse generalized linear regression models. Retrieved May 24, 2026, from https://4ort.xyz/entity/ebglmnet-a-comprehensive-r-package-for-sparse-generalized-linear-regression-models
MLA“EBglmnet: a comprehensive R package for sparse generalized linear regression models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ebglmnet-a-comprehensive-r-package-for-sparse-generalized-linear-regression-models.
BibTeX@misc{4ortxyz_ebglmnet-a-comprehensive-r-package-for-sparse-generalized-linear-regression-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EBglmnet: a comprehensive R package for sparse generalized linear regression models}}, year = {2026}, url = {https://4ort.xyz/entity/ebglmnet-a-comprehensive-r-package-for-sparse-generalized-linear-regression-models}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EBglmnet: a comprehensive R package for sparse generalized linear regression models — https://4ort.xyz/entity/ebglmnet-a-comprehensive-r-package-for-sparse-generalized-linear-regression-models (retrieved 2026-05-24)
