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QuESTr

0.1.1

Constructing Quantitative Environment Sensor using Transcriptomes

0packages depend
5.8Kdownloads / year
3.7%test coverage
11/13checks pass

Overview

About
Maintained by Takahiko KoizumiFirst published 2022-02-151 releasesCRAN page ↗GitHub ↗

A method for prediction of environmental conditions based on transcriptome data linked with the environmental gradients. This package provides functions to overview gene-environment relationships, to construct the prediction model, and to predict environmental conditions where the transcriptomes were generated. This package can quest for candidate genes for the model construction even in non-model organisms' transcriptomes without any genetic information.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.4 min · r-devel-linux-x86_64-fedora-clang
Code health
Yes
Tests · ratio 0.02
3.7%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • NOTE2026-05-12
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-05-10
    11 OK · 1 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 109 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
14%

Downloads

5.8K
CRAN downloads in the past year
Rank #8,623 · ~16/day · ~480/mo
Daily download trend is not available in this view yet.
15130 days
1.1K90 days
5.8K1 year
Compare downloads with other packages →
Also on83 r2u6 autocran

Repository

Repository practices

Upstream repositoryBeta

Repository github.com/takakoizumi/questr is linked, but repository-practices checks have not run for it yet.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (2)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (3)
no longer listed · 0.1.1
no longer listed · 0.1.1
no longer listed · 0.1.1
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2022-02-15
Total releases
1 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
79 KB / 1 file
Download size
93 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("QuESTr")

CRAN DOI

https://doi.org/10.32614/CRAN.package.QuESTr

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryQuESTr,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {QuESTr} version 0.1.1},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/QuESTr},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for QuESTr version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/QuESTr

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for QuESTr version 0.1.1
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/QuESTr
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/QuESTr.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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