glmBfp: Bayesian Fractional Polynomials for GLMs

Implements the Bayesian paradigm for fractional polynomials in generalized linear models. See package 'bfp' for the treatment of normal models.

Version: 0.0-48
Depends: R (≥ 2.12.0)
Imports: survival, rms, statmod, methods, coda, Runuran (≥ 0.12), Rcpp (≥ 0.11.6)
LinkingTo: Rcpp, RcppArmadillo
Suggests: MASS
Published: 2016-07-07
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 uzh.ch>
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_0.0-48.tar.gz
Windows binaries: r-devel: glmBfp_0.0-48.zip, r-release: glmBfp_0.0-48.zip, r-oldrel: glmBfp_0.0-48.zip
OS X Mavericks binaries: r-release: glmBfp_0.0-48.tgz, r-oldrel: glmBfp_0.0-48.tgz
Old sources: glmBfp archive

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