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SqueakR: An Experiment Interface for 'DeepSqueak' Bioacoustics Research

Data processing and visualizations for rodent vocalizations exported from 'DeepSqueak'. These functions are compatible with the 'SqueakR' Shiny Dashboard, which can be used to visualize experimental results and analyses.

Version: 1.3.0
Depends: R (≥ 2.10)
Imports: dplyr, ggcorrplot, ggeasy, gghighlight, ggplot2, ggpubr, googlesheets4, MASS, plotly, RColorBrewer, readxl, report, rlist, rstatix, shiny, shinydashboard, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-06-28
DOI: 10.32614/CRAN.package.SqueakR
Author: Simon Ogundare ORCID iD [aut, cre]
Maintainer: Simon Ogundare <simon.ogundare at columbia.edu>
License: MIT + file LICENSE
URL: https://osimon81.github.io/SqueakR/, https://github.com/osimon81/SqueakR/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SqueakR results

Documentation:

Reference manual: SqueakR.pdf
Vignettes: SqueakR

Downloads:

Package source: SqueakR_1.3.0.tar.gz
Windows binaries: r-devel: SqueakR_1.3.0.zip, r-release: SqueakR_1.3.0.zip, r-oldrel: SqueakR_1.3.0.zip
macOS binaries: r-release (arm64): SqueakR_1.3.0.tgz, r-oldrel (arm64): SqueakR_1.3.0.tgz, r-release (x86_64): SqueakR_1.3.0.tgz, r-oldrel (x86_64): SqueakR_1.3.0.tgz
Old sources: SqueakR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SqueakR 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.