gbm.bootstrap.functions: gbm.bootstrap.functions
In JBjouffray/ggBRT: Explore and Visualise the Results of Boosted Regression Trees
View source: R/gbm.bootstrap.functions.R
gbm.bootstrap.functions R Documentation
gbm.bootstrap.functions
Description
Function to calculate bootstrap estimates of 95
Usage
gbm.bootstrap.functions(gbm.object, list.predictors, n.reps = 200,
n.divisions = 100, verbose = T)
Arguments
gbm.object
a gbm object describing sample intensity
list.predictors
a list of data from a run of plot.gbm.4list
n.reps
number of bootstrap samples
n.divisions
the number of used in continuous resolution of plot.gbm
verbose
control reporting
JBjouffray/ggBRT documentation built on Nov. 19, 2024, 2:34 a.m.
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View source: R/gbm.bootstrap.functions.R
| gbm.bootstrap.functions | R Documentation |
gbm.bootstrap.functions
Description
Function to calculate bootstrap estimates of 95
Usage
gbm.bootstrap.functions(gbm.object, list.predictors, n.reps = 200,
n.divisions = 100, verbose = T)
Arguments
gbm.object |
a gbm object describing sample intensity |
list.predictors |
a list of data from a run of plot.gbm.4list |
n.reps |
number of bootstrap samples |
n.divisions |
the number of used in continuous resolution of plot.gbm |
verbose |
control reporting |
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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