Package with tools for classification of electroencephalography (EEG) data. Feature extraction techniques such as Fourier Transform and Continuous Wavelet Transform (CWT) are available. Support Vector Machines (SVM) can be used to classify the extracted features. An algorithm using Analysis of Variance (ANOVA), False Discovery Rate (FDR), and SVM is available to feature selection. Additionally, the package contains functions to plot data and features.
| Version: | 0.0 |
| Depends: | R (≥ 3.0.0), e1071 (≥ 1.6), wmtsa (≥ 2.0-0) , fields (≥ 6.9.1), splus2R (≥ 1.2-0) |
| Published: | 2014-06-22 |
| Author: | Murilo Coutinho Silva (University of Brasilia, Brazil), George Freitas von Borries (University of Brasilia, Brazil) |
| Maintainer: | Murilo Coutinho Silva <coutinho.stat at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | eegAnalysis results |
| Reference manual: | eegAnalysis.pdf |
| Package source: | eegAnalysis_0.0.tar.gz |
| Windows binaries: | r-devel: eegAnalysis_0.0.zip, r-release: eegAnalysis_0.0.zip, r-oldrel: eegAnalysis_0.0.zip |
| OS X Mavericks binaries: | r-release: eegAnalysis_0.0.tgz, r-oldrel: eegAnalysis_0.0.tgz |
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