PPimportance: Calculate variable importance
In sunsmiling/PPtreeregViz: Projection Pursuit Regression Tree Visualization
PPimportance R Documentation
Calculate variable importance
Description
Calculate the importance of variables in the PPTreereg model.
For local importance, weighted sum of projection coefficients with the number of data corresponding to
each node as the weighted value in each node is used.
The global importance is absolute sum of local importance.
Usage
PPimportance(PPTreeregOBJ,...)
Arguments
PPTreeregOBJ
PPTreereg class object - a model to be explained
...
arguments to be passed to methods
Value
An object of the class PPimpobj
Examples
data(dataXY)
Model <- PPTreereg(Y~., data = dataXY, DEPTH = 2)
PPimportance(Model)
sunsmiling/PPtreeregViz documentation built on Oct. 12, 2023, 11:15 a.m.
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| PPimportance | R Documentation |
Calculate variable importance
Description
Calculate the importance of variables in the PPTreereg model.
For local importance, weighted sum of projection coefficients with the number of data corresponding to
each node as the weighted value in each node is used.
The global importance is absolute sum of local importance.
Usage
PPimportance(PPTreeregOBJ,...)
Arguments
PPTreeregOBJ |
PPTreereg class object - a model to be explained |
... |
arguments to be passed to methods |
Value
An object of the class PPimpobj
Examples
data(dataXY)
Model <- PPTreereg(Y~., data = dataXY, DEPTH = 2)
PPimportance(Model)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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