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 <>.

Version: 1.0.4
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: 2018-07-06
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>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: meaRtools results


Reference manual: meaRtools.pdf
Vignettes: meaRtools: Reading in MEA data
meaRtools: Performing a Comprehensive Analysis of Multiple MEA Recordings
meaRtools: Basics of correlating spike trains
Package source: meaRtools_1.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: meaRtools_1.0.4.tgz, r-oldrel: meaRtools_1.0.4.tgz
Old sources: meaRtools archive


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