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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 |
| Author: | Surya Tokdar |
| Maintainer: | Surya Tokdar <surya.tokdar at duke.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | neuromplex results |
| Reference manual: | neuromplex.pdf |
| 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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