dosepred: The prediction function for the personalized direct learning...
In orthoDr: Semi-Parametric Dimension Reduction Models Using Orthogonality Constrained Optimization
dosepred R Documentation
The prediction function for the personalized direct learning dose model
Description
Predict the fitted dose from the direct learning dose model
Usage
dosepred(B, X, X_test, bw, w)
Arguments
B
A matrix of the parameters B, the columns are subject to the orthogonality constraint
X
The covariate matrix
X_test
The test covariate matrix
bw
A Kernel bandwidth, assuming each variable have unit variance
w
The kernel ridge regression coefficient
Value
The predicted dose
orthoDr documentation built on May 29, 2024, 4 a.m.
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| dosepred | R Documentation |
The prediction function for the personalized direct learning dose model
Description
Predict the fitted dose from the direct learning dose model
Usage
dosepred(B, X, X_test, bw, w)
Arguments
B |
A matrix of the parameters |
X |
The covariate matrix |
X_test |
The test covariate matrix |
bw |
A Kernel bandwidth, assuming each variable have unit variance |
w |
The kernel ridge regression coefficient |
Value
The predicted dose
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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