| 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 |
| SMARTfull | Imputed and transformed data extract from the SMART study |
| 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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