CRAN/E | NeuroDecodeR

NeuroDecodeR

Decode Information from Neural Activity

Installation

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.

emeyers.github.io/NeuroDecodeR/
github.com/emeyers/NeuroDecodeR
Bug report File report

Key Metrics

Version 0.2.0
R ≥ 4.1.0
Published 2024-03-15 44 days ago
Needs compilation? no
License GPL-3
CRAN checks NeuroDecodeR results

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Maintainer

Maintainer

Ethan Meyers

ethan.meyers@gmail.com

Authors

Ethan Meyers

aut / cre

Material

README
Reference manual
Package source

Vignettes

NeuroDecodeR object specification
Data formats
Datasets
Generalization analysis tutorial
Introductory tutorial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

NeuroDecodeR archive

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

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