NOVA: Neural Output Visualization and Analysis
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 |
Documentation:
Downloads:
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