predict.SVCMimage: Make predictions from a fitted multivariate varying...
In funstatpackages/SVCMimage: Multivariate Spline Estimation and Inference for Varying Coefficient Models with Imaging Data
Description
Usage
Arguments
Details
Value
Description
This function is used to make predictions of the multivariate varying coefficient models.
Usage
1
2
## S3 method for class 'SVCMimage'
predict(mfit, Xpred, Zpred)
Arguments
mfit
Fitted “SVCMimage" object.
Xpred
The design matrix for prediction.
Zpred
The cooridinates for prediction.
Details
This R package is the implementation program for manuscript entitled “Multivariate Spline Estimation and Inference for Varying Coefficient Models with Imaging Data" by Shan Yu, Guannan Wang, Li Wang and Lijian Yang.
Value
A matrix of predicted images is returned.
funstatpackages/SVCMimage documentation built on May 17, 2019, 4:21 a.m.
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Description Usage Arguments Details Value
Description
This function is used to make predictions of the multivariate varying coefficient models.
Usage
1 2 | ## S3 method for class 'SVCMimage'
predict(mfit, Xpred, Zpred)
|
Arguments
mfit |
Fitted “SVCMimage" object.
|
Xpred |
The design matrix for prediction.
|
Zpred |
The cooridinates for prediction.
|
Details
This R package is the implementation program for manuscript entitled “Multivariate Spline Estimation and Inference for Varying Coefficient Models with Imaging Data" by Shan Yu, Guannan Wang, Li Wang and Lijian Yang.
Value
A matrix of predicted images is returned.
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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