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IRkernel: Native R Kernel for the 'Jupyter Notebook'

The R kernel for the 'Jupyter' environment executes R code which the front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via the network.

Version: 1.3.2
Depends: R (≥ 3.2.0)
Imports: repr (≥ 0.4.99), methods, evaluate (≥ 0.10), IRdisplay (≥ 0.3.0.9999), pbdZMQ (≥ 0.2-1), crayon, jsonlite (≥ 0.9.6), uuid, digest
Suggests: testthat, roxygen2
Published: 2023-01-20
DOI: 10.32614/CRAN.package.IRkernel
Author: Thomas Kluyver [aut, cph], Philipp Angerer ORCID iD [aut, cph, cre], Jan Schulz [aut, cph], Karthik Ram [aut, cph]
Maintainer: Philipp Angerer <phil.angerer at gmail.com>
BugReports: https://github.com/IRkernel/IRkernel/issues/
License: MIT + file LICENSE
URL: https://irkernel.github.io
NeedsCompilation: no
SystemRequirements: jupyter, jupyter_kernel_test (Python package for testing)
Materials: README
CRAN checks: IRkernel results

Documentation:

Reference manual: IRkernel.pdf

Downloads:

Package source: IRkernel_1.3.2.tar.gz
Windows binaries: r-devel: IRkernel_1.3.2.zip, r-release: IRkernel_1.3.2.zip, r-oldrel: IRkernel_1.3.2.zip
macOS binaries: r-release (arm64): IRkernel_1.3.2.tgz, r-oldrel (arm64): IRkernel_1.3.2.tgz, r-release (x86_64): IRkernel_1.3.2.tgz, r-oldrel (x86_64): IRkernel_1.3.2.tgz
Old sources: IRkernel archive

Reverse dependencies:

Reverse imports: RCy3, rpymat
Reverse suggests: ottr

Linking:

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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.