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