predict_ga: Function to compute the preposterior for each of the basis...
In dampack: Decision-Analytic Modeling Package
Description
Usage
Arguments
Value
Description
Function to compute the preposterior for each of the
basis functions of the GAM model.
Usage
1
predict_ga(object, n, n0)
Arguments
object
gam object
n
scalar or vector of new sample size to compute evsi on
n0
scalar or vector of effective prior sample size
Value
the conditional loss associated with a gam, effective prior sample size,
and new sample size
dampack documentation built on May 31, 2021, 1:06 a.m.
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Description Usage Arguments Value
Description
Function to compute the preposterior for each of the basis functions of the GAM model.
Usage
1 | predict_ga(object, n, n0)
|
Arguments
object |
gam object |
n |
scalar or vector of new sample size to compute evsi on |
n0 |
scalar or vector of effective prior sample size |
Value
the conditional loss associated with a gam, effective prior sample size, and new sample size
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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