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 <arXiv:1911.04387>.

Version:	1.0-1
Depends:	R (≥ 3.6)
Imports:	BayesLogit, ggplot2, dplyr, tidyr, magrittr, gridExtra
Published:	2021-04-22
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

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