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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:

Reference manual: NOVA.html , NOVA.pdf

Downloads:

Package source: NOVA_0.1.1.tar.gz
Windows binaries: r-devel: NOVA_0.1.1.zip, r-release: NOVA_0.1.1.zip, r-oldrel: NOVA_0.1.1.zip
macOS binaries: r-release (arm64): NOVA_0.1.1.tgz, r-oldrel (arm64): NOVA_0.1.1.tgz, r-release (x86_64): NOVA_0.1.1.tgz, r-oldrel (x86_64): NOVA_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NOVA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.