as.data.frame.GlmBayesMfp | Convert a GlmBayesMfp object into a data frame |
boxTidwell | Box Tidwell transformation |
computeModels | Compute model information for a given list of model... |
constructNewdataMatrix | Construct the covariates matrix for new data based on an... |
convert2Mcmc | Convert samples to mcmc objects |
coxTBF | Fit Cox models using glmBayesMfp |
cppBfgs | Interface to the internal C++ optimization routine "bfgs" |
cppOptimize | Interface to the internal C++ optimization routine "optimize" |
CustomGPrior | Constructor for the custom g-prior class |
CustomGPrior-class | The custom g-prior class |
empiricalHpd | Construct an empirical HPD interval from samples |
evalZdensity | Evaluate the (negative log) unnormalized marginal z density... |
Extract.GlmBayesMfp | Extract method for GlmBayesMfp objects |
formula | Mark a covariate for transformation with fractional... |
fpScale | Shift and scale a covariate vector (if wished) to have... |
fpTrans | Transform formula variables |
getDesignMatrix | Construct the design matrix for a given bfp GLM model |
getFamily | Helper function for glmBayesMfp: Extracts an S3 family object |
getFpTransforms | Get the FP transforms matrix of a given covariate vector |
getGenerator | Internal helper function which gets the generator (and... |
getLogGPrior | Helper function for glmBayesMfp: Returns the normalized log g... |
getLogMargLikEstimate | Compute the Chib-Jeliazkov log marginal likelihood estimate... |
getMarginalZ | Construct a (smooth) marginal z density approximation from a... |
getModelCoefs | Estimate shrunken coefficients from GlmBayesMfp object for... |
getUncenteredDesignMatrix | Construct the design matrix for a given bfp GLM model |
glmBayesMfp | Bayesian model inference for fractional polynomial GLMs and... |
GlmBayesMfpSamples-class | Class for samples from a single GlmBayesMfp model or a model... |
GlmBayesMfpSamples-subsetting | Subset method for GlmBayesMfpSamples objects |
glmBfp-package | Bayesian inference for fractional polynomial models from the... |
GPrior-class | The virtual g-prior class |
HypergPrior | Constructor for the hyper-g prior class |
HypergPrior-class | The hyper-g prior class |
HypergPrior-initialize | Initialization method for the "HypergPrior" class |
IncInvGammaGPrior | Constructor for the incomplete inverse gamma g-prior class |
IncInvGammaGPrior-class | The incomplete inverse gamma g-prior class |
IncInvGammaGPrior-initialize | Initialization method for the "IncInvGammaGPrior" class |
inclusionProbs | Compute posterior inclusion probabilites based on GlmBayesMfp... |
InvGammaGPrior | Constructor for the inverse gamma g-prior class |
InvGammaGPrior-class | The inverse gamma g-prior class |
InvGammaGPrior-initialize | Initialization method for the "InvGammaGPrior" class |
is.bool | Predicate checking for a boolean option |
logMargLiks | Extract the log marginal likelihood estimates from a... |
logPriors | Extract the log prior values from a GlmBayesMfp object |
McmcOptions | Constructor for class McmcOptions |
McmcOptions-class | Class for the three canonical MCMC options |
plotCurveEstimate | Function for plotting a fractional polynomial curve estimate |
posteriors | Extract posterior model probability estimates from a... |
predict.TBFcox | Prediction methods for CoxTBF objects |
predict.TBFcox.BMA | Prediction methods for CoxTBF objects for BMA models |
predict.TBFcox.sep | Prediction methods for CoxTBF objects with separate estimates |
print.GlmBayesMfp | Print a GlmBayesMfp object. |
sampleBma | Produce posterior samples from a Bayesian model average over... |
sampleGlm | Produce posterior samples from one GLM / Cox model |
sampleSize | Compute the number of samples for a given MCMC options triple |
scrHpd | Calculate an SCB from a samples matrix |
testCox | Test the Cox model computation for the TBF approach |
writeFormula | Construct a survival formula based on a glmBfp object with... |
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