Package: NeuroDecodeR
Title: Decode Information from Neural Activity
Version: 0.1.0
Authors@R: c(
  person("Ethan", "Meyers", email = "ethan.meyers@gmail.com", 
  role = c("aut", "cre"))
  )
Description: 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 (2004)
    <doi:10.7551/mitpress/8404.003.0024>.
URL: https://github.com/emeyers/NeuroDecodeR
BugReports: https://github.com/emeyers/NeuroDecodeR/issues
Depends: R (>= 4.1.0)
License: GPL-3
RoxygenNote: 7.2.1
Imports: dplyr, doSNOW, e1071, forcats, foreach, ggplot2, gridExtra,
        magrittr, methods, purrr, R.matlab, scales, stats, stringr,
        tibble, tictoc, tidyr, utils
Suggests: knitr, rmarkdown, testthat
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-29 01:55:32 UTC; emmCS
Author: Ethan Meyers [aut, cre]
Maintainer: Ethan Meyers <ethan.meyers@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-29 13:00:02 UTC
Built: R 4.2.0; ; 2022-09-29 15:33:48 UTC; unix
