Decode Information from Neural Activity R package NeuroDecodeR version 0.2.0 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>. Software 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 Ethan Meyers <ethan.meyers@gmail.com> Comprehensive R Archive Network (CRAN) Ethan Meyers [aut, cre] GPL-3 2024-03-15 application/tgz https://CRAN.R-project.org/package=NeuroDecodeR doi:10.32614/CRAN.package.NeuroDecodeR