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hySAINT

1.2.1

Hybrid Genetic and Simulated Annealing Algorithm for High Dimensional Linear Models with Interaction Effects

0packages depend
1.9Kdownloads / year
test coverage
12/13checks pass

Overview

About
Maintained by Leiyue LiFirst published 2024-03-122 releasesCRAN page ↗

We provide a stage-wise selection method using genetic algorithms, designed to efficiently identify main and two-way interactions within high-dimensional linear regression models. Additionally, it implements simulated annealing algorithm during the mutation process. The relevant paper can be found at: Ye, C.,and Yang,Y. (2019) doi:10.1109/TIT.2019.2913417.

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Health

CRAN checks
1NOTE12OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.2 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 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
100%
Documented parameters
100%
Return-value docs
100%
References docs
14%

Downloads

1.9K
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Dependencies

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5 external dependencies (excludes base and recommended)
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Code & Tests

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

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.1Latest
    2024-04-04 · current release · diff ↗
  • 1.2.0
    2024-03-12
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-03-12
Total releases
2 / 2 yrs
License
GPL-2 OSI
Download size
12 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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