API for hypergsplines
Bayesian model selection with penalised splines and hyper-g prior

Global functions
CustomGPrior Man page
CustomGPrior-class Man page
GPrior-class Man page
HypergPrior Man page
HypergPrior-class Man page
HypergPrior-initialize Man page
HypergnPrior Man page
HypergnPrior-class Man page
HypergnPrior-initialize Man page
InvGammaGPrior Man page
InvGammaGPrior-class Man page
InvGammaGPrior-initialize Man page
aggregateModelsTable Man page
calculateModel Man page
checkModelConfigs Man page
dinvGamma Man page
empiricalHpd Man page
exhaustive Man page
expWithConst Man page
getBmaSamples Man page
getComputation Man page
getFamily Man page
getFitSamples Man page
getFunctionSamples Man page
getInclusionProbs Man page
getLogModelPrior Man page
getMcmc Man page
getQmatrix Man page
getRhos Man page
getSamples Man page
getSearch Man page
glmGetSamples Man page
glmModelData Man page
hyp2f1 Man page
hypergsplines Man page
hypergsplines-package Man page
initialize,HypergPrior-method Man page
initialize,HypergnPrior-method Man page
initialize,InvGammaGPrior-method Man page
is.bool Man page
is.posInt Man page
is.scalar Man page
linApproxDens Man page
logBFhypergn Man page
logHyp2f1Laplace Man page
makeBasis Man page
modelData Man page
pinvGamma Man page
plotCurveEstimate Man page
postOptimize Man page
qinvGamma Man page
rinvGamma Man page
rshrinkage Man page
scrBesag Man page
scrHpd Man page
stochSearch Man page
survModelData Man page
hypergsplines documentation built on May 2, 2019, 6:14 p.m.