glmBfp: Bayesian Fractional Polynomials for GLMs

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.

Version: 0.0-51
Depends: R (≥ 2.12.0)
Imports: survival, rms, statmod, methods, coda, Runuran (≥ 0.12), Rcpp (≥ 0.11.6)
LinkingTo: Rcpp, RcppArmadillo
Suggests: MASS
Published: 2017-08-03
Author: Isaac Gravestock [aut, cre], Daniel Sabanes Bove [aut], David Maisonave [ctb], Terry Therneau [ctb], R Core Team [ctb]
Maintainer: Isaac Gravestock <isaac.gravestock at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: glmBfp citation info
Materials: ChangeLog
CRAN checks: glmBfp results


Reference manual: glmBfp.pdf
Vignettes: glmBfp: Bayesian fractional polynomials for GLMs
Package source: glmBfp_0.0-51.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: glmBfp_0.0-51.tgz, r-oldrel: glmBfp_0.0-51.tgz
Old sources: glmBfp archive


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