https://ndogonadze.r-universe.devRecent package updates in ndogonadzeR-universehttps://github.com/ndogonadze.pnghttps://ndogonadze.r-universe.devFri, 06 Sep 2024 11:16:01 GMTnika.dogonadze@toptal.com (Dogonadze Nika)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.https://github.com/r-universe/megatvini/actions/runs/38531365146Fri, 06 Sep 2024 11:16:01 GMTMulvariateRandomForestVarImp0.0.6successhttps://megatvini.r-universe.devhttps://github.com/megatvini/vim