ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

Ziegler, Andreas; Wright, Marvin N.

doi:10.18637/jss.v077.i01

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ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

Author(s): Marvin N. Wright , Andreas Ziegler

Publication date Created: 2017

Publication date (Print): 2017

Journal: Journal of Statistical Software

Publisher: Foundation for Open Access Statistic

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Journal ID (publisher-id): JSSOBK

Title: Journal of Statistical Software

Abbreviated Title: J. Stat. Soft.

Publisher: Foundation for Open Access Statistic

ISSN (Electronic): 1548-7660

Publication date Created: 2017

Publication date (Print): 2017

Volume: 77

Issue: 1

Article

DOI: 10.18637/jss.v077.i01

SO-VID: 08b75a2a-caff-4bf9-ad26-5110c84cf0c7

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ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

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