Description Usage Arguments Value Author(s) See Also
View source: R/famTEMsel.main.R
predict_famTEMsel
makes predictions given a (new) set of functional covariates newX
, a (new) set of scalar covariates newZ
and a (new) vector of treatment indicators newA
based on a constrained functional additive model famTEMsel.obj
.
Specifically, predict_famTEMsel
predicts the responses y based on the (X,Z)-by-A interaction effect (plus the A main effect) portion of the full model that includes the unspecified X main effect term.
1 2 |
famTEMsel.obj |
a |
newX |
a (n by p) list of new values for the functional covariates X at which predictions are to be made; the jth element of the list corresponds to a n-by-n.eval[j] matrix of the observed jth functional covariates; n.eval[j] represents the number of evaluation points of the jth functional covariates; if |
newZ |
a (n by q) matrix of new values for the scalar covariates Z at which predictions are to be made; if |
newA |
a (n by 1) vector of new values for the treatment A at which predictions are to be made; if |
type |
the type of prediction required; the default "response" gives the predicted responses y based on the whole model; the alternative "terms" gives the component-wise predicted responses from each of the p components (and plus the treatment-specific intercepts) of the model. |
lambda.index |
an index of the tuning parameter |
predicted |
a (n-by- |
U |
a n-by-(p+q) matrix of the index variables; the first p columns correspond to the 1-D projections of the p functional covariates and the last q columns correspond to the q scalar covariates. |
Park, Petkova, Tarpey, Ogden
famTEMsel
,cv.famTEMsel
, plot_famTEMsel
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