Man pages for hypergsplines
Bayesian model selection with penalised splines and hyper-g prior
| 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 |
