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face (version 0.1-1)

predict.face.sparse: Subject-specific curve prediction from a face.sparse fit

Description

Predict subject-specific curves based on a fit from "face.sparse".

Usage

"predict"(object, newdata,...)

Arguments

object
a fitted object from the R function "face.sparse".
newdata
a data frame with three arguments: (1) argvals: observation times; (2) subj: subject indices; (3) y: values of observations. NA values are allowed in "y" but not in the other two.
...
further arguments passed to or from other methods.

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 newdata
scores
if calculate.scores in object is TRUE (typically FALSE), then predicted scores will be calculated.
...
...

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.

References

Luo Xiao, Cai Li, Will Checkley and Ciprian Crainiceanu, Fast covariance estimation for sparse functional data, manuscript.

Examples

Run this code

#See the examples for "face.sparse".

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