Package: neuromplex 1.0-1

Surya Tokdar

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>.

Authors:Surya Tokdar <[email protected]>

neuromplex_1.0-1.tar.gz
neuromplex_1.0-1.tar.gz(r-4.5-noble)neuromplex_1.0-1.tar.gz(r-4.4-noble)
neuromplex_1.0-1.tgz(r-4.4-emscripten)neuromplex_1.0-1.tgz(r-4.3-emscripten)
neuromplex.pdf |neuromplex.html✨
neuromplex/json (API)

# Install 'neuromplex' in R:
install.packages('neuromplex', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 125 downloads 6 exports 38 dependencies

Last updated 4 years agofrom:2ca7b60b33. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-linuxOKNov 04 2024

Exports:bin.counterdappdapp.simulatemplex.preprocesspoisson.testssynthesis.dapp

Dependencies:BayesLogitclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr