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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 OgundareORCID iD [aut, cre]
Maintainer:Simon Ogundare <simon.ogundare at columbia.edu>
License:MIT + fileLICENSE
URL:https://osimon81.github.io/SqueakR/,https://github.com/osimon81/SqueakR/
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:SqueakR results

Documentation:

Reference manual:SqueakR.html ,SqueakR.pdf
Vignettes:SqueakR (source,R code)

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 formhttps://CRAN.R-project.org/package=SqueakRto link to this page.


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