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MulvariateRandomForestVarImp

Variable Importance Measures for Multivariate Random Forests

Calculates two sets of post-hoc variable importance measures for multivariate random forests. The first set of variable importance measures are given by the sum of mean split improvements for splits defined by feature j measured on user-defined examples (i.e., training or testing samples). The second set of importance measures are calculated on a per-outcome variable basis as the sum of mean absolute difference of node values for each split defined by feature j measured on user-defined examples (i.e., training or testing samples). The user can optionally threshold both sets of importance measures to include only splits that are statistically significant as measured using an F-test.

Versions across snapshots

VersionRepositoryFileSize
0.0.2 rolling linux/jammy R-4.5 MulvariateRandomForestVarImp_0.0.2.tar.gz 28.7 KiB
0.0.2 rolling linux/noble R-4.5 MulvariateRandomForestVarImp_0.0.2.tar.gz 28.6 KiB
0.0.2 rolling source/ R- MulvariateRandomForestVarImp_0.0.2.tar.gz 8.5 KiB
0.0.2 latest linux/jammy R-4.5 MulvariateRandomForestVarImp_0.0.2.tar.gz 28.7 KiB
0.0.2 latest linux/noble R-4.5 MulvariateRandomForestVarImp_0.0.2.tar.gz 28.6 KiB
0.0.2 latest source/ R- MulvariateRandomForestVarImp_0.0.2.tar.gz 8.5 KiB
0.0.2 2026-04-26 source/ R- MulvariateRandomForestVarImp_0.0.2.tar.gz 8.5 KiB
0.0.2 2026-04-23 source/ R- MulvariateRandomForestVarImp_0.0.2.tar.gz 8.5 KiB
0.0.2 2026-04-09 windows/windows R-4.5 MulvariateRandomForestVarImp_0.0.2.zip 32.8 KiB
0.0.2 2025-04-20 source/ R- MulvariateRandomForestVarImp_0.0.2.tar.gz 8.5 KiB

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