pred.csim: 'csim' prediction function
In syhyunpark/csim: Constrained single index models (CSIM)
Description
Usage
Arguments
Value
Author(s)
See Also
Description
This function makes predictions from the constrained single index model
given a csim object and pretreatment covariates.
The function returns predicted outcomes for each treatment and treatment selection rules.
Usage
1
pred.csim(csim.obj, newx)
Arguments
csim.obj
a csim 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
Author(s)
Park, Petkova, Tarpey, Ogden
See Also
syhyunpark/csim documentation built on May 31, 2019, 4:56 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
This function makes predictions from the constrained single index model
given a csim object and pretreatment covariates.
The function returns predicted outcomes for each treatment and treatment selection rules.
Usage
1 | pred.csim(csim.obj, newx)
|
Arguments
csim.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 |
Author(s)
Park, Petkova, Tarpey, Ogden
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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