Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 15 found.
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getTerminalNodeIDs (Package: ranger) : Get terminal node IDs of observations.

Get terminal node IDs of observations.
● Data Source: CranContrib
● Keywords:
● Alias: getTerminalNodeIDs
● 0 images

predict.ranger (Package: ranger) : Ranger prediction

Prediction with new data and a saved forest from Ranger.
● Data Source: CranContrib
● Keywords:
● Alias: predict.ranger
● 0 images

print.ranger.prediction (Package: ranger) : Print Ranger prediction

Print contents of Ranger prediction object.
● Data Source: CranContrib
● Keywords:
● Alias: print.ranger.prediction
● 0 images

holdoutRF (Package: ranger) : Hold-out random forests

Grow two random forests on two cross-validation folds. Instead of out-of-bag data, the other fold is used to compute permutation importance. Related to the novel permutation variable importance by Janitza et al. (2015).
● Data Source: CranContrib
● Keywords:
● Alias: holdoutRF
● 0 images

timepoints.ranger (Package: ranger) : Ranger timepoints

Extract unique death times of Ranger Survival forest
● Data Source: CranContrib
● Keywords:
● Alias: timepoints, timepoints.ranger
● 0 images

importance_pvalues (Package: ranger) : ranger variable importance confidence intervals and p-values

Compute variable importance with confidence intervals and p-values.
● Data Source: CranContrib
● Keywords:
● Alias: importance_pvalues
● 0 images

ranger (Package: ranger) : Ranger

Ranger is a fast implementation of Random Forest (Breiman 2001) or recursive partitioning, particularly suited for high dimensional data. Classification, regression, and survival forests are supported. Classification and regression forests are implemented as in the original Random Forest (Breiman 2001), survival forests as in Random Survival Forests (Ishwaran et al. 2008).
● Data Source: CranContrib
● Keywords:
● Alias: ranger
● 0 images

predict.ranger.forest (Package: ranger) : Ranger prediction

Prediction with new data and a saved forest from Ranger.
● Data Source: CranContrib
● Keywords:
● Alias: predict.ranger.forest
● 0 images

predictions.ranger.prediction (Package: ranger) : Ranger predictions

Extract predictions of Ranger prediction object.
● Data Source: CranContrib
● Keywords:
● Alias: predictions, predictions.ranger.prediction
● 0 images

timepoints.ranger.prediction (Package: ranger) : Ranger timepoints

Extract unique death times of Ranger Survival prediction object.
● Data Source: CranContrib
● Keywords:
● Alias: timepoints.ranger.prediction
● 0 images