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iimi needs mltools, which CRAN will archive unless its check problems are fixed by Nov 11.

Identifying Infection with Machine Intelligence

0packages depend
3.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 8.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-10
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-05-03
  • OK13 OK2026-05-02
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.2
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14
Examples that run
14%1 run in a plain check · 6 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0% with Rdpack citation macros

Downloads

3.6K
CRAN downloads in the past year
Rank #10,553 · ~10/day · ~301/mo
Daily download trend is not available in this view yet.
35930 days
98190 days
3.6K1 year
Compare downloads with other packages →
Also on104 r2u

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing iimi adds 75 packages (40 with compiled code, 58 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 4 more not on CRAN are not measured.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (6)
Author, Maintainer since 1.0.2 (2024)
Author
Author
Releases (5)

Pick two releases to compare their code metrics.

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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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