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0.1.1

Graphical Independence Filtering

0packages depend
2.6Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Shiyun LinFirst published 2020-06-032 releasesCRAN page ↗

Provides a method of recovering the precision matrix for Gaussian graphical models efficiently. Our approach could be divided into three categories. First of all, we use Hard Graphical Thresholding for best subset selection problem of Gaussian graphical model, and the core concept of this method was proposed by Luo et al. (2014) <arXiv:1407.7819>. Secondly, a closed form solution for graphical lasso under acyclic graph structure is implemented in our package (Fattahi and Sojoudi (2019) <https://jmlr.org/papers/v20/17-501.html>). Furthermore, we implement block coordinate descent algorithm to efficiently solve the covariance selection problem (Dempster (1972) <doi:10.2307/2528966>). Our package is computationally efficient and can solve ultra-high-dimensional problems, e.g. p > 10,000, in a few minutes.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Code health
Yes
Tests · ratio 0.46
not tracked
Coverage
100%
Documentation · exports
Yes
Vignettes
Yes
README
3
Dependencies · direct
Check history
  • NOTE2026-04-22
    10 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    9 OK · 4 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    10 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Downloads

2.6K
CRAN downloads in the past year
Rank #15,490 · ~7/day · ~221/mo
32530 days
72390 days
2.6K1 year
Also on401 r2u15 autocran
Source & community

Repository stars, issues, and contributor activity are not tracked yet.

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.2
Imports (3)
RcppMASS baseMatrix base
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code

1,102Lines of code
3Exported functions

Line coverage

Expression

Tests / Examples

Functions

21 3 exported

Complexity

3.4 avg / 9 max

Call network

21 nodes / 5 edges

Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (3)
Author
Copyright holders (1)
Copyright holder
Release 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
  • 0.1.1Latest
    2024-01-12 · current release
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0
    2020-06-03

Package metadata

First published
2020-06-03
Total releases
2 / 6 yrs
License
GPL (>= 2) OSI
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet