glmBfp-package

glmBfp

<p>Bayesian inference for fractional polynomial models from the GLM and Cox
family</p>

package

Implements the Bayesian paradigm
for fractional polynomials in generalized linear
models, described by Held, Gravestock, Sabanes Bove (2015) <doi:10.1214/14-STS510>.
See package 'bfp' for the treatment of normal
models.

Isaac Gravestock

Bayesian Fractional Polynomials for GLMs

Daniel Sabanes Bove

David Maisonave

Terry Therneau

R Core Team 

glmBfp-package function

Bayesian inference for fractional polynomial models from the GLM
and Cox family — glmBfp-package

Bayesian inference for fractional polynomial models from the GLM
and Cox family

glmBfp-package: Bayesian inference for fractional polynomial models from the GLM and Cox family

Description

Arguments