getLogPrior: Extract the log prior probability from a model.
In bfp: Bayesian Fractional Polynomials
getLogPrior R Documentation
Extract the log prior probability from a model.
Description
Extract the log prior probability from the first model saved in a
BayesMfp object.
Usage
getLogPrior(x)
Arguments
x
a valid BayesMfp-Object of length 1 (otherwise only first
element recognized)
Details
Note that the returned value might be only defined up to a constant,
because some models might not be identifiable or have a dimension too
large, and are thus implicitly assigned a zero prior probabibility.
Author(s)
Daniel Saban\'es Bov\'e
See Also
getLogMargLik
bfp documentation built on Nov. 1, 2022, 1:05 a.m.
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.
| getLogPrior | R Documentation |
Extract the log prior probability from a model.
Description
Extract the log prior probability from the first model saved in a
BayesMfp object.
Usage
getLogPrior(x)
Arguments
x |
a valid BayesMfp-Object of length 1 (otherwise only first element recognized) |
Details
Note that the returned value might be only defined up to a constant, because some models might not be identifiable or have a dimension too large, and are thus implicitly assigned a zero prior probabibility.
Author(s)
Daniel Saban\'es Bov\'e
See Also
getLogMargLik
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.