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NeuroDecodeR

0.2.0Package record

Decode Information from Neural Activity

0packages depend
2.7Kdownloads / year
81.8%test coverage
13/13flavors OK

Overview

About

Neural decoding is method of analyzing neural data that uses a pattern classifiers to predict experimental conditions based on neural activity. 'NeuroDecodeR' is a system of objects that makes it easy to run neural decoding analyses. For more information on neural decoding see Meyers & Kreiman (2011) doi:10.7551/mitpress/8404.003.0024.

Install

Health

CRAN checks
13OK
Slowest check: 9.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 252 wordsVignettesYes · 5 · dynamicNEWS· In the repository, left out of the releaseCitation fileNoWebsiteYes · pkgdown
Help pages
59 (31 internal)includes a package overview page
Examples that run
94%16 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
57%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.7K
CRAN downloads in the past year
Rank #15,147 · ~7/day · ~224/mo
Daily download trend is not available in this view yet.
35830 days
78090 days
2.7K1 year
Compare downloads with other packages →
Also on74 r2u1 autocran

Repository

14Stars
5Forks
0Open issues
0Open PRs
2Releases
682Commits
10Commit identities
682 commits · Last activity 2024-03-15 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
80%
Median days to close, 50 most recently updated closed issues
128
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-08-11 · 132026-07-07 · 14
PracticesBeta

10 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/emeyers/neurodecoder on 2026-10-11.

Continuous integration (3)
GitHub ActionsR CMD check workflowAppVeyor

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2024-03-15

Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdrevdep/
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing NeuroDecodeR adds 42 packages (17 with compiled code, 31 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2022)
Releases (2)

Pick two releases to compare their code metrics.

  • 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
  • 0.2.0Latest
    record
    2024-03-15 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    record
    2022-09-29
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-29
Total releases
2 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Download size
3.6 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NeuroDecodeR")
Meyers, E. (2024). NeuroDecodeR: Decode Information from Neural Activity (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.NeuroDecodeR

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 NeuroDecodeR version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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