risk.adjust.new.be: Predicting Event Rates for New Data
In dshenker/RFSLAM: What the Package Does (One Line, Title Case)
View source: R/rf_functions_p2.R
risk.adjust.new.be R Documentation
Predicting Event Rates for New Data
Description
risk.adjust.new.be calculates risk event rates on a new set of test data
Usage
risk.adjust.new.be(rf, status, rt, new_data, k = 2, alpha.tm = 0.05)
Arguments
rf
the random forest object
status
the target variable corresponding to "training" CPIUs used to build the rf
rt
the risk time values corresponding to "training" CPIUs used to build the rf
new_data
the new test dataset
Value
vector of risk values for the new data
dshenker/RFSLAM documentation built on Sept. 18, 2022, 3:26 a.m.
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View source: R/rf_functions_p2.R
| risk.adjust.new.be | R Documentation |
Predicting Event Rates for New Data
Description
risk.adjust.new.be calculates risk event rates on a new set of test data
Usage
risk.adjust.new.be(rf, status, rt, new_data, k = 2, alpha.tm = 0.05)
Arguments
rf |
the random forest object |
status |
the target variable corresponding to "training" CPIUs used to build the rf |
rt |
the risk time values corresponding to "training" CPIUs used to build the rf |
new_data |
the new test dataset |
Value
vector of risk values for the new data
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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