aggregateModelsTable | Aggregate the models found by exhaustive or stochastic search |
calculateModel | Calculate intermediate information for a specific model |
checkModelConfigs | Check coherency of model configurations with data |
CustomGPrior | Constructor for the custom g-prior class |
CustomGPrior-class | The custom g-prior class |
dinvGamma | Density function for the inverse gamma distribution |
empiricalHpd | Construct an empirical HPD interval from samples |
exhaustive | Evaluate all possible models |
expWithConst | Exponentiate a vector of values plus a constant |
getBmaSamples | Get posterior samples from the Bayesian Model Average (BMA) |
getComputation | Collect the computation options |
getFamily | Helper function for glmModelData: Extracts an S3 family... |
getFitSamples | Extract fit samples on linear predictor scale from posterior... |
getFunctionSamples | Extract function values samples from posterior coefficients... |
getInclusionProbs | Extract posterior inclusion probabilities from the models... |
getLogModelPrior | Get the log prior probability for a model |
getMcmc | Collect the MCMC options |
getQmatrix | Compute the Q matrix necessary for the offsets for survival... |
getRhos | Compute the penalty parameters corresponding to degrees of... |
getSamples | Get posterior samples for a specific model configuration |
getSearch | Collect the search options, todo: really use this in the... |
glmGetSamples | Get posterior samples for a specific model configuration for... |
glmModelData | Process the data needed for modelling |
GPrior-class | The virtual g-prior class |
hyp2f1 | Gauss hypergeometric function |
HypergnPrior | Constructor for the "HypergnPrior" class |
HypergnPrior-class | The hyper-g/n prior class |
HypergnPrior-initialize | Initialization method for the "HypergnPrior" class |
HypergPrior | Constructor for the hyper-g prior class |
HypergPrior-class | The hyper-g prior class |
HypergPrior-initialize | Initialization method for the "HypergPrior" class |
hypergsplines-package | Bayesian model selection with penalized splines and hyper-g... |
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 |
is.posInt | Predicate checking for a scalar positive integer |
is.scalar | Predicate checking for a scalar |
linApproxDens | Test the C++ object class LinApproxDens |
logBFhypergn | Compute the log Bayes Factor against the null model under... |
logHyp2f1Laplace | Laplace approximation to the Gauss hypergeometric function |
makeBasis | Construction of quantile-based linear spline basis |
modelData | Process the data needed for modelling |
pinvGamma | Cumulative distribution function for the inverse gamma... |
plotCurveEstimate | Plot function value estimates |
postOptimize | Post-optimizing a good model |
qinvGamma | Quantile function for the inverse gamma distribution |
rinvGamma | Generate random numbers from the inverse gamma distribution |
rshrinkage | Sample from the model-specific posterior of the shrinkage... |
scrBesag | Simultaneous credible band computation |
scrHpd | Calculate an SCB from a samples matrix |
stochSearch | Stochastic search for models with high posterior probability |
survModelData | Process the data needed for survival models |
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