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neuromplex: Neural Multiplexing Analysis

Statistical methods for whole-trial and time-domain analysis of single cell neural response to multiple stimuli presented simultaneously. The package is based on the paper by C Glynn, ST Tokdar, A Zaman, VC Caruso, JT Mohl, SM Willett, and JM Groh (2021) "Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure", is in press for publication by the Annals of Applied Statistics. A preprint may be found at <doi:10.48550/arXiv.1911.04387>.

Version: 1.0-1
Depends: R (≥ 3.6)
Imports: BayesLogit, ggplot2, dplyr, tidyr, magrittr, gridExtra
Published: 2021-04-22
DOI: 10.32614/CRAN.package.neuromplex
Author: Surya Tokdar
Maintainer: Surya Tokdar <surya.tokdar at duke.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: neuromplex results

Documentation:

Reference manual: neuromplex.pdf

Downloads:

Package source: neuromplex_1.0-1.tar.gz
Windows binaries: r-devel: neuromplex_1.0-1.zip, r-release: neuromplex_1.0-1.zip, r-oldrel: neuromplex_1.0-1.zip
macOS binaries: r-release (arm64): neuromplex_1.0-1.tgz, r-oldrel (arm64): neuromplex_1.0-1.tgz, r-release (x86_64): neuromplex_1.0-1.tgz, r-oldrel (x86_64): neuromplex_1.0-1.tgz
Old sources: neuromplex archive

Linking:

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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.