frame.logreg2: INTERNAL FUNCTION TO EVALUATE IMPORTANCE OF PREDICTOR...
In LogicForest: Logic Forest
View source: R/a.frame.logreg2.R
frame.logreg2 R Documentation
INTERNAL FUNCTION TO EVALUATE IMPORTANCE OF PREDICTOR COMBINATIONS
Description
INTERNAL FUNCTION TO EVALUATE IMPORTANCE OF PREDICTOR COMBINATIONS
Usage
frame.logreg2(fit, msz, ntr, newbin, newresp, newsep, newcens, newweight)
Arguments
fit
An object of type "logreg" fit to data
msz
Max number of leaves on a tree
ntr
Number of trees of fit
newbin
new binary variables
newresp
new response variable
newsep
new number of separate predictors
newcens
new censoring indicators
newweight
new weightings
Details
This function is called by predict.logreg2. It is not intended to be used independently.
Value
outframe
LogicForest documentation built on Aug. 8, 2025, 7:46 p.m.
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View source: R/a.frame.logreg2.R
| frame.logreg2 | R Documentation |
INTERNAL FUNCTION TO EVALUATE IMPORTANCE OF PREDICTOR COMBINATIONS
Description
INTERNAL FUNCTION TO EVALUATE IMPORTANCE OF PREDICTOR COMBINATIONS
Usage
frame.logreg2(fit, msz, ntr, newbin, newresp, newsep, newcens, newweight)
Arguments
fit |
An object of type |
msz |
Max number of leaves on a tree |
ntr |
Number of trees of fit |
newbin |
new binary variables |
newresp |
new response variable |
newsep |
new number of separate predictors |
newcens |
new censoring indicators |
newweight |
new weightings |
Details
This function is called by predict.logreg2. It is not intended to be used independently.
Value
outframe
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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