pred.K.SAM: 'K.SAM' prediction function
In syhyunpark/csim: Constrained single index models (CSIM)
Description
Usage
Arguments
Value
See Also
Description
pred.K.SAM makes predictions from the fitted K separate sparse additive models
given a K.SAM object and a set of pretreatment covariates.
The function returns predicted outcomes for each treatment and treatment selection rules.
Usage
1
pred.K.SAM(K.SAM.obj, newx)
Arguments
K.SAM.obj
a K.SAM object
newx
a matrix of new values for the pretreatment covariates at which predictions are to be made.
Value
pred.new
a matrix of predicted values; column represents each treatment.
trt.rule
a vector of suggested treatments
See Also
syhyunpark/csim documentation built on May 31, 2019, 4:56 a.m.
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Description Usage Arguments Value See Also
Description
pred.K.SAM makes predictions from the fitted K separate sparse additive models
given a K.SAM object and a set of pretreatment covariates.
The function returns predicted outcomes for each treatment and treatment selection rules.
Usage
1 | pred.K.SAM(K.SAM.obj, newx)
|
Arguments
K.SAM.obj |
a |
newx |
a matrix of new values for the pretreatment covariates at which predictions are to be made. |
Value
pred.new |
a matrix of predicted values; column represents each treatment. |
trt.rule |
a vector of suggested treatments |
See Also
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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