getLogGPrior: Helper function for glmBayesMfp: Returns the normalized log g...
In glmBfp: Bayesian Fractional Polynomials for GLMs
Description
Usage
Arguments
Value
Description
Returns the normalized log of the prior density on g as an R function.
It is checked that the result is valid, that is that exp(f) integrates to 1 over the
positive real line.
Usage
1
getLogGPrior(gPrior)
Arguments
gPrior
the gPrior argument passed to glmBayesMfp
Value
The R function.
glmBfp documentation built on July 2, 2020, 2:30 a.m.
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Description Usage Arguments Value
Description
Returns the normalized log of the prior density on g as an R function. It is checked that the result is valid, that is that exp(f) integrates to 1 over the positive real line.
Usage
1 | getLogGPrior(gPrior)
|
Arguments
gPrior |
the gPrior argument passed to |
Value
The R function.
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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