NOVA: Neural Output Visualization and Analysis (original) (raw)
A comprehensive toolkit for analyzing and visualizing neural data outputs, including Principal Component Analysis (PCA) trajectory plotting, Multi-Electrode Array (MEA) heatmap generation, and variable importance analysis. Provides publication-ready visualizations with flexible customization options for neuroscience research applications.
| Version: | 0.1.1 |
|---|---|
| Depends: | R (≥ 3.6.0) |
| Imports: | readr, tibble, DT, knitr, scales, readxl, writexl, dplyr, ggplot2, tidyr (≥ 1.1.0), purrr (≥ 0.3.0), rlang (≥ 0.4.0), stringr (≥ 1.4.0), RColorBrewer (≥ 1.1.0), viridis (≥ 0.5.0), pheatmap (≥ 1.0.0), gridExtra (≥ 2.3.0) |
| Suggests: | utils, testthat (≥ 3.0.0), rmarkdown (≥ 2.0) |
| Published: | 2025-10-16 |
| DOI: | 10.32614/CRAN.package.NOVA |
| Author: | Alex Tudoras [aut, cre] |
| Maintainer: | Alex Tudoras <alex.tudorasmiravet at ucsf.edu> |
| BugReports: | https://github.com/atudoras/NOVA/issues |
| License: | GPL-3 |
| URL: | https://github.com/atudoras/NOVA |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | NOVA results |
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