predict.face.sparse {face} | R Documentation |
Subject-specific curve prediction from a face.sparse fit
Description
Predict subject-specific curves based on a fit from "face.sparse".
Usage
## S3 method for class 'face.sparse'
predict(object, newdata,...)
Arguments
object |
a fitted object from the R function "face.sparse". |
newdata |
a data frame with three arguments:
(1) |
... |
further arguments passed to or from other methods. |
Details
This function makes prediction based on observed data for each subject. So for each subject,
it requires at least one observed data. For the time points prediction is desired but
no observation is available, just make the corresponding data$y
as NA.
Value
object |
A "face.sparse" fit |
newdata |
Input |
y.pred , mu.pred , Chat.pred , Chat.diag.pred , var.error.pred |
Predicted/estimated objects at
the observation time points in |
rand_eff |
if |
... |
... |
Author(s)
Luo Xiao <lxiao5@ncsu.edu>
References
Luo Xiao, Cai Li, William Checkley and Ciprian Crainiceanu, Fast covariance estimation for sparse functional data, Stat. Comput., doi: 10.1007/s11222-017-9744-8.
Examples
#See the examples for "face.sparse".