Model Based Random Forest Analysis

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Documentation for package ‘mobForest’ version 1.3.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

bootstrap	This method computes predicted outcome for each observation in the data frame using the tree model supplied as an input argument.
compute.acc	Predictive accuracy estimates across trees for logistic regression model
compute.mse	Predictive accuracy estimates (MSE) across trees for linear or poisson regression model.
compute.r2	Predictive accuracy estimates across trees for linear or poisson regression
get.mf.object.glm	Fit a general linear model to a mobForest model
get.mf.object.lm	Fit a linear model to a mobForest model
get.pred.values	Get predictions summarized across trees for out-of-bag cases or all cases for cases from new test data
get.pred.values,	Class '"mobforest.output"' of mobforest model
get.varimp	Variable importance scores computed through random forest analysis
logical,	Class '"mobforest.output"' of mobforest model
logical-method	Class '"mobforest.output"' of mobforest model
logistic.acc	Contingency table: Predicted vs. Observed Outcomes
mob.rf.tree	Model based recursive partitioning - randomized subset of partition variables considered during each split.
mobfores.output,	Class '"mobforest.output"' of mobforest model
mobforest.analysis	Model-based random forest analysis
mobforest.control	Control parameters for random forest
mobforest.control-class	Class '"mobforest.control"' of mobForest model
mobforest.output	Model-based random forest object
mobforest.output,	Class '"mobforest.output"' of mobforest model
mobforest.output-class	Class '"mobforest.output"' of mobforest model
mobforest.output-method	Class '"mobforest.output"' of mobforest model
mobforest.output-method,	Class '"mobforest.output"' of mobforest model
mob_fit_checksplit	Utility Function. Taken from party package to remove ":::" warning
mob_fit_childweights	Utility Function. Taken from party package to remove ":::" warning
mob_fit_fluctests	Utility Function. Taken from party package to remove ":::" warning
mob_fit_getlevels	Utility Function. Taken from party package to remove ":::" warning
mob_fit_getobjfun	Utility Function. Taken from party package to remove ":::" warning
mob_fit_setupnode	Utility Function. Taken from party package to remove ":::" warning
mob_fit_splitnode	Utility Function. Taken from party package to remove ":::" warning
prediction.output	Predictions and predictive accuracy estimates
prediction.output-class	Class '"prediction.output"' of mobForest model
predictive.acc	Predictive performance across all trees
predictive.acc,	Class '"mobforest.output"' of mobforest model
print.estimates	Predictive Accuracy Report
residual.plot	Produces two plots: a) histogram of residuals, b) predicted Vs residuals. This feature is applicable only when linear regression is considered as the node model.
show-method	Class '"mobforest.output"' of mobforest model
string.formula	Model in the formula object converted to a character
tree.predictions	Predictions from tree model
varimp.output	Variable importance matrix containing the decrease in predictive accuracy after permuting the variables across all trees
varimp.output-class	Class '"varimp.output"' of mobforest model
varimplot	A plot with variable importance score on X-axis and variable name on Y-axis.