Simple wrapper for ranger::ranger(). Supports regression
(default) and probability forests (set probability = TRUE).
Usage
mdl_ranger(y, X, ...)
Value
mdl_ranger returns an object of S3 class ranger as a
simple mask of the return object of ranger::ranger().
Arguments
y
The outcome variable.
X
The feature matrix.
...
Additional arguments passed to ranger. See
ranger::ranger() for a complete list of arguments.
References
Wright M N, Ziegler A (2017). "ranger: A fast implementation of random
forests for high dimensional data in C++ and R." Journal of Statistical
Software 77(1), 1-17.
See Also
ranger::ranger()
Other ml_wrapper:
mdl_glmnet(),
mdl_glm(),
mdl_xgboost(),
ols()