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iimi

1.2.2

Identifying Infection with Machine Intelligence

0packages depend
3.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Xuekui ZhangFirst published 2024-03-075 releasesCRAN page ↗

A novel machine learning method for plant viruses diagnostic using genome sequencing data. This package includes three different machine learning models, random forest, XGBoost, and elastic net, to train and predict mapped genome samples. Mappability profile and unreliable regions are introduced to the algorithm, and users can build a mappability profile from scratch with functions included in the package. Plotting mapped sample coverage information is provided.

Install

Health

CRAN checks
13OK
Slowest check: 8.5 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
15
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-10
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 4 earlier snapshots
  • ERROR2026-05-03
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
14%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

3.9K
CRAN downloads in the past year
Rank #14,943 · ~11/day · ~327/mo
Daily download trend is not available in this view yet.
25530 days
69690 days
3.9K1 year
Compare downloads with other packages →
Also on155 r2u

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (6)
Author, Maintainer
Author
Author
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.2Latest
    2025-12-04 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.2.1
    2024-11-01 · diff ↗
  • 1.1.1
    2024-07-26 · diff ↗
  • 1.1.0
    2024-07-18 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.2
    2024-03-07
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-03-07
Total releases
5 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
2.4 MB / 7 files
Download size
2.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("iimi")
Zhang, X., Boyes, I., Ning, H., Numanagić, I., Rott, M., & Xing, L. (2025). iimi: Identifying Infection with Machine Intelligence (Version 1.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.iimi

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for iimi version 1.2.2 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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