meaRtools: Micro-Electro Array (MEA) Analysis

Core algorithms for MEA spike train analysis, feature extraction, statistical analysis and plotting of multiple MEA recordings with multiple genotypes and treatments, published by Gelfman et al (2017) at <https://github.com/igm-team/meaRtools/>.

Version: 1.0.2
Depends: R (≥ 3.2.2)
Imports: lattice, tcltk, emdist, ggplot2 (≥ 2.2.1), gridExtra, reshape2, plyr, gtools, Rcpp (≥ 0.12.11)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat
Published: 2017-12-10
Author: Quanli Wang [aut, ctb], Sahar Gelfman [aut, ctb, cre], Diana Hall [aut, ctb], Ryan Dhindsa [aut, ctb], Matt Halvorsen [aut, ctb], Ellese Cotterill [aut, ctb], Tom Edinburgh [aut, ctb], Stephen J. Eglen [aut, ctb, ths]
Maintainer: Sahar Gelfman <sahar.gelfman at columbia.edu>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: meaRtools results

Downloads:

Reference manual: meaRtools.pdf
Vignettes: meaRtools: Performing a Comprehensive Analysis of Multiple MEA Recordings
meaRtools: Basics of correlating spike trains
Package source: meaRtools_1.0.2.tar.gz
Windows binaries: r-devel: meaRtools_1.0.1.zip, r-release: meaRtools_1.0.1.zip, r-oldrel: meaRtools_1.0.1.zip
OS X El Capitan binaries: r-release: meaRtools_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: meaRtools_1.0.1.tgz
Old sources: meaRtools archive

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