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TFRE

0.1.0

A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression

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1.8Kdownloads / year
test coverage
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Overview

About
Maintained by Yunan WuFirst published 2024-01-311 releasesCRAN page ↗

Provide functions to estimate the coefficients in high-dimensional linear regressions via a tuning-free and robust approach. The method was published in Wang, L., Peng, B., Bradic, J., Li, R. and Wu, Y. (2020), "A Tuning-free Robust and Efficient Approach to High-dimensional Regression", Journal of the American Statistical Association, 115:532, 1700-1714(JASA’s discussion paper), doi:10.1080/01621459.2020.1840989. See also Wang, L., Peng, B., Bradic, J., Li, R. and Wu, Y. (2020), "Rejoinder to “A tuning-free robust and efficient approach to high-dimensional regression". Journal of the American Statistical Association, 115, 1726-1729, doi:10.1080/01621459.2020.1843865; Peng, B. and Wang, L. (2015), "An Iterative Coordinate Descent Algorithm for High-Dimensional Nonconvex Penalized Quantile Regression", Journal of Computational and Graphical Statistics, 24:3, 676-694, doi:10.1080/10618600.2014.913516; Clémençon, S., Colin, I., and Bellet, A. (2016), "Scaling-up empirical risk minimization: optimization of incomplete u-statistics", The Journal of Machine Learning Research, 17(1):2682–2717; Fan, J. and Li, R. (2001), "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties", Journal of the American Statistical Association, 96:456, 1348-1360, doi:10.1198/016214501753382273.

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Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
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Documented parameters
100%
Return-value docs
100%
References docs
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Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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Code & Tests

People & History

People (2)
Maintainer (1)
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Authors (2)
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Copyright holders (1)
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Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2024-01-31
Total releases
1 / 2 yrs
License
GPL (>= 2) OSI
Download size
13 KB
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With dependencies
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