Ian Marschner (using code from glm and glm.fit in the stats package)
Fits generalized linear models using the same model specification as glm in the stats package, but with a modified default fitting method that provides greater stability for models that may fail to converge using glm

c(person("Ian", "Marschner", role = c("aut", "cre"),
email = "ian.marschner@mq.edu.au",
comment = "using code from glm and glm.fit in the stats package"))
Fits generalized linear models using the same model specification as glm in the stats package, but with a modified default fitting method that provides greater stability for models that may fail to converge using glm.
Ian Marschner [aut, cre] (using code from glm and glm.fit in the stats
package)

c(person("Ian", "Marschner", role = "aut",
email = "ian.marschner@mq.edu.au",
comment = "using code from glm and glm.fit in the stats package"),
person("Mark W.", "Donoghoe", role = c("cre", "ctb"),
email = "markdonoghoe@gmail.com"))
Ian Marschner [aut] (using code from glm and glm.fit in the stats
package),
Mark W. Donoghoe [cre, ctb]

survival, rms, statmod, methods, coda, Runuran (>= 0.12), Rcpp
(>= 0.11.6)
Bayesian Fractional Polynomials for GLMs
c(person("Isaac","Gravestock", role=c("aut","cre"), email="isaac.gravestock@uzh.ch"),
person("Daniel","Sabanes Bove", role="aut"),
person("David","Maisonave", role="ctb"),
person("Terry","Therneau", role="ctb"),
person("R Core Team", role="ctb")
)
Implements the Bayesian paradigm
for fractional polynomials in generalized linear
models. See package 'bfp' for the treatment of normal
models.
'GPrior-classes.R' 'posteriors.R' 'GlmBayesMfp-methods.R'
'GlmBayesMfpSamples-class.R' 'GlmBayesMfpSamples-methods.R'
'McmcOptions-class.R' 'McmcOptions-methods.R' 'RcppExports.R'
'helpers.R' 'computeModels.R' 'constructNewdataMatrix.R'
'getFpTransforms.R' 'getDesignMatrix.R' 'coxTBF.R'
'evalZdensity.R' 'formula.R' 'fpScale.R' 'fpTrans.R'
'getFamily.R' 'getLogGPrior.R' 'getLogMargLikEstimate.R'
'getMarginalZ.R' 'sampleGlm.R' 'sampleBma.R' 'getModelCoefs.R'
'glmBayesMfp.R' 'glmBfp-package.R' 'hpds.R' 'inclusionProbs.R'
'optimize.R' 'plotCurveEstimate.R' 'predictCoxTBF.R'
'testCox.R' 'uncenteredDesignMatrix.R' 'writeFormula.R'
Isaac Gravestock [aut, cre],
Daniel Sabanes Bove [aut],
David Maisonave [ctb],
Terry Therneau [ctb],
R Core Team [ctb]