The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

ISLR2: Introduction to Statistical Learning, Second Edition

We provide the collection of data-sets used in the book 'An Introduction to Statistical Learning with Applications in R, Second Edition'. These include many data-sets that we used in the first edition (some with minor changes), and some new datasets.

Version: 1.3-2
Depends: R (≥ 3.5.0)
Suggests: MASS
Published: 2022-11-20
DOI: 10.32614/CRAN.package.ISLR2
Author: Gareth James [aut], Daniela Witten [aut], Trevor Hastie [aut, cre], Rob Tibshirani [aut], Balasubramanian Narasimhan [ctb]
Maintainer: Trevor Hastie <hastie at stanford.edu>
License: GPL-2
URL: https://www.statlearning.com
NeedsCompilation: no
Materials: README
CRAN checks: ISLR2 results

Documentation:

Reference manual: ISLR2.pdf

Downloads:

Package source: ISLR2_1.3-2.tar.gz
Windows binaries: r-devel: ISLR2_1.3-2.zip, r-release: ISLR2_1.3-2.zip, r-oldrel: ISLR2_1.3-2.zip
macOS binaries: r-release (arm64): ISLR2_1.3-2.tgz, r-oldrel (arm64): ISLR2_1.3-2.tgz, r-release (x86_64): ISLR2_1.3-2.tgz, r-oldrel (x86_64): ISLR2_1.3-2.tgz
Old sources: ISLR2 archive

Reverse dependencies:

Reverse suggests: cv

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ISLR2 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.