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RIA

1.7.2

Radiomics Image Analysis Toolbox for Medial Images

0packages depend
3.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Marton KolossvaryFirst published 2017-03-1916 releasesCRAN page ↗

Radiomics image analysis toolbox for 2D and 3D radiological images. RIA supports DICOM, NIfTI, nrrd and npy (numpy array) file formats. RIA calculates first-order, gray level co-occurrence matrix, gray level run length matrix and geometry-based statistics. Almost all calculations are done using vectorized formulas to optimize run speeds. Calculation of several thousands of parameters only takes minutes on a single core of a conventional PC. Detailed methodology has been published: Kolossvary et al. Circ: Cardiovascular Imaging. 2017;10(12):e006843 <doi: 10.1161/CIRCIMAGING.117.006843>.

Install

Health

CRAN checks
13OK
Slowest check: 1.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 5,732 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
97%
Return-value docs
86%
References docs
100%

Downloads

3.6K
CRAN downloads in the past year
Rank #12,140 · ~10/day · ~296/mo
Daily download trend is not available in this view yet.
19030 days
82690 days
3.6K1 year
Compare downloads with other packages →
Also on90 r2u15 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.3.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

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

16 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
  • 1.7.2Latest
    2024-01-08 · current release · diff ↗
  • 1.7.1
    2023-05-19 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.7.0
    2023-04-07 · diff ↗
  • 1.6.1
    2023-04-04 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.6.0
    2021-07-17 · diff ↗
  • 1.5.1
    2021-06-30 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.5.0
    2021-01-29 · diff ↗
  • 1.4.3
    2021-01-08 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
Show 11 earlier events
  • 1.4.2
    2019-04-09 · diff ↗
  • 1.4.1
    2018-06-24 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.4.0
    2018-03-30 · diff ↗
  • 1.3.0
    2017-12-13 · diff ↗
  • 1.2.0
    2017-08-11 · diff ↗
  • 1.1.0
    2017-06-08 · diff ↗
  • 1.0.1
    2017-05-04 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0.0
    2017-03-19
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-03-19
Total releases
16 / 9 yrs
License
AGPL-3 OSI
Minimum R
≥ 3.3.0
Bundled data
9.7 KB / 3 files
Download size
128 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RIA")
Kolossvary, M. (2024). RIA: Radiomics Image Analysis Toolbox for Medial Images (Version 1.7.2) [Computer software]. https://doi.org/10.32614/CRAN.package.RIA

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 RIA version 1.7.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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