pred.func: Calculate the expected primary outcome in the treatment group...
In SurrogateBMA: Flexible Evaluation of Surrogate Markers with Bayesian Model Averaging
View source: R/SurrogateBMA_functions.R
pred.func R Documentation
Calculate the expected primary outcome in the treatment group given the model and the parameters
Description
Provides a function to calculate the expected primary outcome in the treatment group given the model and the parameters.
Usage
pred.func(theta, ST, m)
Arguments
theta
ST
m
Value
a numeric vector.
Author(s)
Yunshan Duan
References
Duan, Y. and Parast, L., 2023. Flexible evaluation of surrogate markers with Bayesian model averaging. Statistics in Medicine.
SurrogateBMA documentation built on May 29, 2024, 8:55 a.m.
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View source: R/SurrogateBMA_functions.R
| pred.func | R Documentation |
Calculate the expected primary outcome in the treatment group given the model and the parameters
Description
Provides a function to calculate the expected primary outcome in the treatment group given the model and the parameters.
Usage
pred.func(theta, ST, m)
Arguments
theta |
|
ST |
|
m |
Value
a numeric vector.
Author(s)
Yunshan Duan
References
Duan, Y. and Parast, L., 2023. Flexible evaluation of surrogate markers with Bayesian model averaging. Statistics in Medicine.
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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