API for RTIInternational/mobForest
Model Based Random Forest Analysis

Global functions
bootstrap Man page Source code
compute.acc Man page Source code
compute.mse Man page Source code
compute.r2 Man page Source code
get.mf.object.glm Man page Source code
get.mf.object.lm Man page Source code
get.pred.values Man page Source code
get.pred.values, Man page
get.varimp Man page Source code
logical, Man page
logical-method Man page
logistic.acc Man page Source code
mob.rf.tree Man page Source code
mob_fit_checksplit Man page
mob_fit_childweights Man page
mob_fit_fluctests Man page
mob_fit_getlevels Man page
mob_fit_getobjfun Man page
mob_fit_setupnode Man page
mob_fit_splitnode Man page
mobfores.output, Man page
mobforest.analysis Man page Source code
mobforest.control Man page Source code
mobforest.control-class Man page
mobforest.output Man page Source code
mobforest.output, Man page
mobforest.output-class Man page
mobforest.output-method Man page
mobforest.output-method, Man page
prediction.output Man page Source code
prediction.output-class Man page
predictive.acc Man page Source code
predictive.acc, Man page
print.estimates Man page Source code
residual.plot Man page Source code
show,mobforest.output-method Man page
string.formula Man page Source code
tree.predictions Man page Source code
varimp.output Man page Source code
varimp.output-class Man page
varimplot Man page Source code
RTIInternational/mobForest documentation built on Aug. 3, 2019, 8:28 a.m.