Welcome to theSqueakR package!
To install the CRAN release of the package, run the followingcode:
install.packages(SqueakR)library(SqueakR)To install the development version ofSqueakR, run thefollowing code (ensure devtools is loaded first):
install_github("osimon81/SqueakR")library(SqueakR)SqueakR represents a suite of programs designed toassist researchers with processing and exploring data from experimentswhich use DeepSqueak for bioacoustics projects. DeepSqueak is amachine-vision program capable of aggregating detected vocalizationsbased on the features a call might have, allowing subsequent analysis ofcall syntax, significant changes in call features across groups,etc.
For reference, the entireSqueakR suite can be foundunder this GitHublist.
The tools and resources available underSqueakRinclude:
TheSqueakRpkgdown website availablethrough GitHub. Detailed information about its functions can be foundunder theReference tab on the SqueakR website. TheGetstarted tab is the recommended site for learning how to use thepackage.
Themain SqueakR Packagerepository, and the correspondingWiki andDiscussionssections.
TheSqueakR package itself,and documentation describing its functions, on CRAN.
TheSqueakR OnSwirl course GitHub repository. Installing this course will teachyou how to use SqueakR within RStudio itself!
If you have any questions that cannot be answered through any ofthese ways, feel free to contact me atsimon.ogundare@columbia.edu,and I’ll get back to you as soon as possible.