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NeuroDecodeR: Decode Information from Neural Activity

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>.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: dplyr, doSNOW, e1071, forcats, foreach, ggplot2, gridExtra, magrittr, methods, purrr, R.matlab, scales, stats, stringr, tibble, tictoc, tidyr, utils
Suggests: knitr, rmarkdown, testthat
Published: 2024-03-15
DOI: 10.32614/CRAN.package.NeuroDecodeR
Author: Ethan Meyers [aut, cre]
Maintainer: Ethan Meyers <ethan.meyers at gmail.com>
BugReports: https://github.com/emeyers/NeuroDecodeR/issues
License: GPL-3
URL: https://emeyers.github.io/NeuroDecodeR/, https://github.com/emeyers/NeuroDecodeR
NeedsCompilation: no
Materials: README
CRAN checks: NeuroDecodeR results

Documentation:

Reference manual: NeuroDecodeR.pdf
Vignettes: NeuroDecodeR object specification
Data formats
Datasets
Generalization analysis tutorial
Introductory tutorial

Downloads:

Package source: NeuroDecodeR_0.2.0.tar.gz
Windows binaries: r-devel: NeuroDecodeR_0.2.0.zip, r-release: NeuroDecodeR_0.2.0.zip, r-oldrel: NeuroDecodeR_0.2.0.zip
macOS binaries: r-release (arm64): NeuroDecodeR_0.2.0.tgz, r-oldrel (arm64): NeuroDecodeR_0.2.0.tgz, r-release (x86_64): NeuroDecodeR_0.2.0.tgz, r-oldrel (x86_64): NeuroDecodeR_0.2.0.tgz
Old sources: NeuroDecodeR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NeuroDecodeR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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