pred.simsl {simsl} | R Documentation |
SIMSL prediction function
Description
This function makes predictions from an estimated SIMSL, given a (new) set of covariates. The function returns a set of predicted outcomes given the treatment values in a dense grid of treatment levels for each individual, and a recommended treatment level (assuming a larger value of the outcome is better).
Usage
pred.simsl(simsl.obj, newX = NULL, newA = NULL, newXm = NULL,
single.index = NULL, L = 50, type = "link", maximize = TRUE)
Arguments
simsl.obj |
a |
newX |
a (n-by-p) matrix of new values for the covariates X at which predictions are to be made. |
newA |
a (n-by-L) matrix of new values for the treatment A at which predictions are to be made. |
newXm |
a (n-by-q) matrix of new values for the covariates associated with the fitted main effect Xm at which predictions are to be made. |
single.index |
a length n vector specifying new values for the single-index at which predictions are to be made; the default is |
L |
when |
type |
the type of prediction required; the default "response" is on the scale of the response variable; the alternative "link" is on the scale of the linear predictors. |
maximize |
the default is |
Value
pred.new |
a (n-by-L) matrix of predicted values; each column represents a treatment dose. |
trt.rule |
a (n-by-1) vector of suggested treatment assignments |
Author(s)
Park, Petkova, Tarpey, Ogden
See Also
simsl
,fit.simsl