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neuromplex  

Neural Multiplexing Analysis
View on CRAN: Click here


Download and install neuromplex package within the R console
Install from CRAN:
install.packages("neuromplex")

Install from Github:
library("remotes")
install_github("cran/neuromplex")

Install by package version:
library("remotes")
install_version("neuromplex", "1.0-1")



Attach the package and use:
library("neuromplex")
Maintained by
Surya Tokdar
[Scholar Profile | Author Map]
First Published: 2020-06-04
Latest Update: 2021-04-22
Description:
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 .
How to cite:
Surya Tokdar (2020). neuromplex: Neural Multiplexing Analysis. R package version 1.0-1, https://cran.r-project.org/web/packages/neuromplex. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.0-8 (2020-06-04 16:00)
Other packages that cited neuromplex R package
View neuromplex citation profile
Other R packages that neuromplex depends, imports, suggests or enhances
Complete documentation for neuromplex
Functions, R codes and Examples using the neuromplex R package
Some associated functions: bin.counter . dapp . dapp.simulate . mplex.preprocess . plot.dapp . poisson.tests . predict.dapp . summary.dapp . synthesis.dapp . 
Some associated R codes: dynamic_neural_model-v6.R . globals.R . poisson_analysis.R .  Full neuromplex package functions and examples
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