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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 |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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