Package: robustlm 0.1.0

robustlm: Robust Variable Selection with Exponential Squared Loss

Computationally efficient tool for performing variable selection and obtaining robust estimates, which implements robust variable selection procedure proposed by Wang, X., Jiang, Y., Wang, S., Zhang, H. (2013) <doi:10.1080/01621459.2013.766613>. Users can enjoy the near optimal, consistent, and oracle properties of the procedures.

Authors:Jin Zhu [cre, aut], Borui Tang [aut], Yunlu Jiang [aut], Xueqin Wang [aut]

robustlm_0.1.0.tar.gz
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robustlm.pdf |robustlm.html
robustlm/json (API)
NEWS

# Install 'robustlm' in R:
install.packages('robustlm', repos = c('https://mamba413.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 5 scripts 110 downloads 1 exports 2 dependencies

Last updated 4 years agofrom:9466704112. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 21 2024
R-4.5-winOKOct 21 2024
R-4.5-linuxOKOct 21 2024
R-4.4-winOKOct 21 2024
R-4.4-macOKOct 21 2024
R-4.3-winOKOct 21 2024
R-4.3-macOKOct 21 2024

Exports:robustlm

Dependencies:MASSmatrixStats

robustlm: Robust Variable Selection with Exponential Squared Loss

Rendered fromvignette.Rmdusingknitr::rmarkdownon Oct 21 2024.

Last update: 2021-03-22
Started: 2021-03-22