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# RandomForest.c File Reference

`#include "party.h"`

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## Functions
SEXP | R_Ensemble (SEXP learnsample, SEXP weights, SEXP fitmem, SEXP controls)

## Detailed Description

Random forest with conditional inference trees

Author:
  Author
    hothorn

Date:
  Date
    2006-04-23 19:45:59 +0200 (Sun, 23 Apr 2006)

Definition in file RandomForest.c.

## Function Documentation

SEXP R_Ensemble | ( | SEXP | learnsample,
|  | SEXP | weights,
|  | SEXP | fitmem,
|  | SEXP | controls
| ) |

  | An experimental implementation of random forest like algorithms Parameters:
  | learnsample | an object of class `LearningSample'
  | weights | a vector of case weights
  | fitmem | an object of class `TreeFitMemory'
  | controls | an object of class `TreeControl'
Definition at line 21 of file RandomForest.c. References C_init_node(), C_SampleNoReplace(), C_TreeGrow(), get_fraction(), get_maxsurrogate(), get_ninputs(), get_nobs(), get_ntree(), get_replace(), get_splitctrl(), ncol(), NODE_LENGTH, PL2_jointtransfSym, PL2_responsesSym, and S3get_nodeweights(). Here is the call graph for this function: