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: | 1.0.4 |
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 columbia.edu> |
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: meaRtools_1.0.4.zip, r-release: meaRtools_1.0.4.zip, r-oldrel: meaRtools_1.0.4.zip |
macOS binaries: | r-release: meaRtools_1.0.4.tgz, r-oldrel: meaRtools_1.0.4.tgz |
Old sources: | meaRtools archive |
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