Ranger: A fast implementation of random forests for high dimensional data in C++ and R

Journal of Statistical Software

Volumn 77, Issue 1, 2017, Pages

  Wright, Marvin N ^a   Ziegler, Andreas ^b,c  

^a UNIVERSITY OF LÜBECK   (Germany)

^b UNIVERSITY HOSPITAL SCHLESWIG HOLSTEIN   (Germany)

^c UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

C++; Classification; Machine learning; R; Random forests; Rcpp; Recursive partitioning; Survival analysis

Indexed keywords

EID: 85016782791     PISSN: 15487660     EISSN: None     Source Type: Journal    
DOI: 10.18637/jss.v077.i01     Document Type: Article

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