stabilizeImportance: Stabilize conditional importance values
In etiennelalechere/maturitymodelling: Forest maturity modelling
View source: R/stabilizeImportance.R
stabilizeImportance R Documentation
Stabilize conditional importance values
Description
Compute conditional importance with replicates
Usage
stabilizeImportance(impt.init,nrep)
Arguments
response
vector, pedicted variable
impt.init
output of the function varImpPlot used to include the "true" importance related to the initial calibrated RF model
nrep
integer, number of replicates
Value
Return importance data frame
Examples
# not run: impt.replicates.ord=maturitymodelling::stabilizeImportance(impt.init,nrep)
etiennelalechere/maturitymodelling documentation built on Dec. 9, 2022, 8:02 p.m.
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View source: R/stabilizeImportance.R
| stabilizeImportance | R Documentation |
Stabilize conditional importance values
Description
Compute conditional importance with replicates
Usage
stabilizeImportance(impt.init,nrep)
Arguments
response |
vector, pedicted variable |
impt.init |
output of the function varImpPlot used to include the "true" importance related to the initial calibrated RF model |
nrep |
integer, number of replicates |
Value
Return importance data frame
Examples
# not run: impt.replicates.ord=maturitymodelling::stabilizeImportance(impt.init,nrep)
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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