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

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