getLogPrior

Extract the log prior probability from the first model saved in a
 <code>BayesMfp</code> object.

internal

regression

Implements the Bayesian paradigm for fractional
polynomial models under the assumption of normally distributed error terms, see
Sabanes Bove, D. and Held, L. (2011) <doi:10.1007/s11222-010-9170-7>.

Daniel Sabanes Bove

Bayesian Fractional Polynomials

Isaac Gravestock

Robert Davies

Stephen Moshier

Gareth Ambler

Axel Benner

getLogPrior function

<dl> <dt>x</dt>
<dd>a valid BayesMfp-Object of length 1 (otherwise only first
 element recognized)</dd>
 
</dl>

Arguments

Author

Extract the log prior probability from a model. — getLogPrior

<dl>

 <dt>x</dt>
<dd>a valid BayesMfp-Object of length 1 (otherwise only first
 element recognized)</dd>
 
</dl>

getLogPrior: Extract the log prior probability from a model.

Description

Usage

Arguments

Author

Details

See Also