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: 0.0-60
Depends: R (≥ 2.12.0)
Imports: survival, rms, statmod, methods, coda, Runuran (≥ 0.12), Rcpp (≥ 0.11.6)
LinkingTo: Rcpp, RcppArmadillo
Suggests: MASS
Published: 2020-06-16
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 gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: glmBfp citation info
Materials: ChangeLog
CRAN checks: glmBfp results

Downloads:

Reference manual: glmBfp.pdf
Vignettes: glmBfp: Bayesian fractional polynomials for GLMs
Package source: glmBfp_0.0-60.tar.gz
Windows binaries: r-devel: glmBfp_0.0-60.zip, r-release: glmBfp_0.0-60.zip, r-oldrel: glmBfp_0.0-60.zip
macOS binaries: r-release: glmBfp_0.0-60.tgz, r-oldrel: glmBfp_0.0-60.tgz
Old sources: glmBfp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=glmBfp to link to this page.