The custom g-prior class
Constructor for the custom g-prior class
Extract method for GlmBayesMfp objects
The virtual g-prior class
The hyper-g prior class
Initialization method for the "HypergPrior" class
Constructor for the hyper-g prior class
The incomplete inverse gamma g-prior class
Class for samples from a single GlmBayesMfp model or a model average
GlmBayesMfpSamples-subsetting
Subset method for GlmBayesMfpSamples objects
Constructor for class McmcOptions
as.data.frame.GlmBayesMfp
Convert a GlmBayesMfp object into a data frame
Fit Cox models using glmBayesMfp
The inverse gamma g-prior class
InvGammaGPrior-initialize
Initialization method for the "InvGammaGPrior" class
Construct the covariates matrix for new data based on an existing GlmBayesMfp object
Constructor for the inverse gamma g-prior class
Class for the three canonical MCMC options
Interface to the internal C++ optimization routine "optimize"
Construct an empirical HPD interval from samples
Interface to the internal C++ optimization routine "bfgs"
Helper function for glmBayesMfp: Returns the normalized log g prior density
Compute the Chib-Jeliazkov log marginal likelihood estimate from the MCMC output
Extract the log prior values from a GlmBayesMfp object
Convert samples to mcmc objects
Box Tidwell transformation
Compute model information for a given list of model configurations and glmBayesMfp output.
Shift and scale a covariate vector (if wished) to have positive and small numbers.
Construct the design matrix for a given bfp GLM model
Helper function for glmBayesMfp: Extracts an S3 family object
Bayesian inference for fractional polynomial models from the GLM
and Cox family
Compute posterior inclusion probabilites based on GlmBayesMfp object
Transform formula variables
Get the FP transforms matrix of a given covariate vector
Internal helper function which gets the generator (and normalizing
constant)
Extract posterior model probability estimates from a GlmBayesMfp object
getUncenteredDesignMatrix
Construct the design matrix for a given bfp GLM model
Bayesian model inference for fractional polynomial GLMs and Cox models
Prediction methods for CoxTBF objects
Prediction methods for CoxTBF objects with separate estimates
Produce posterior samples from one GLM / Cox model
Compute the number of samples for a given MCMC options triple
Construct a survival formula based on a glmBfp object with censInd not null.
IncInvGammaGPrior-initialize
Initialization method for the "IncInvGammaGPrior" class
Constructor for the incomplete inverse gamma g-prior class
Evaluate the (negative log) unnormalized marginal z density in a given
model.
Mark a covariate for transformation with fractional polynomials
Construct a (smooth) marginal z density approximation from a model
information list
Estimate shrunken coefficients from GlmBayesMfp object for Cox model
Predicate checking for a boolean option
Extract the log marginal likelihood estimates from a GlmBayesMfp object
Calculate an SCB from a samples matrix
Test the Cox model computation for the TBF approach
Function for plotting a fractional polynomial curve estimate
Print a GlmBayesMfp object.
Produce posterior samples from a Bayesian model average over GLMs / Cox
models
Prediction methods for CoxTBF objects for BMA models