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