Man pages for mombf
Model Selection with Bayesian Methods and Information Criteria

bbPriorPriors on model space for variable selection problems
bestBICModel with best AIC, BIC, EBIC or other general information...
bfnormmixNumber of Normal mixture components under Normal-IW and...
cilTreatment effect estimation for linear models via Confounder...
dalaplDensity and random draws from the asymmetric Laplace...
ddirDirichlet density
diwishDensity for Inverse Wishart distribution
dmomNon-local prior density, cdf and quantile functions.
dpostNIWPosterior Normal-IWishart density
eprodExpectation of a product of powers of Normal or T random...
getBICObtain AIC, BIC, EBIC or other general information criteria...
haldHald Data
icfit-classClass "icfit"
localnulltestLocal variable selection
marginalNIWMarginal likelihood under a multivariate Normal likelihood...
mixturebf-classClass "mixturebf"
mode2gMoment and inverse moment prior elicitation
modelSelectionBayesian variable selection for linear models via non-local...
mombfMoment and inverse moment Bayes factors for linear models.
momknownBayes factors for moment and inverse moment priors
msfit-classClass "msfit"
msPriorSpec-classClass "msPriorSpec"
nlpMarginalsMarginal density of the observed data for linear regression...
plotpriorPlot estimated marginal prior inclusion probabilities
postModeOrthoBayesian model selection and averaging under block-diagonal...
postProbObtain posterior model probabilities
postSamplesExtract posterior samples from an object
rnlpPosterior sampling for regression parameters
mombf documentation built on Sept. 28, 2023, 5:06 p.m.