Man pages for mombf
Model Selection with Bayesian Methods and Information Criteria
| bbPrior | Priors on model space for variable selection problems |
| bestBIC | Model with best AIC, BIC, EBIC or other general information... |
| bfnormmix | Number of Normal mixture components under Normal-IW and... |
| cil | Treatment effect estimation for linear models via Confounder... |
| dalapl | Density and random draws from the asymmetric Laplace... |
| ddir | Dirichlet density |
| diwish | Density for Inverse Wishart distribution |
| dmom | Non-local prior density, cdf and quantile functions. |
| dpostNIW | Posterior Normal-IWishart density |
| eprod | Expectation of a product of powers of Normal or T random... |
| getBIC | Obtain AIC, BIC, EBIC or other general information criteria... |
| hald | Hald Data |
| icfit-class | Class "icfit" |
| icov | Extract estimated inverse covariance |
| localnulltest | Local variable selection |
| marginalNIW | Marginal likelihood under a multivariate Normal likelihood... |
| mixturebf-class | Class "mixturebf" |
| mode2g | Moment and inverse moment prior elicitation |
| modelSelection | Bayesian variable selection for linear models via non-local... |
| modelSelectionGGM | Bayesian variable selection for linear models via non-local... |
| mombf | Moment and inverse moment Bayes factors for linear models. |
| momknown | Bayes factors for moment and inverse moment priors |
| msfit-class | Class "msfit" |
| msfit_ggm-class | Class "msfit_ggm" |
| msPriorSpec-class | Class "msPriorSpec" |
| nlpMarginals | Marginal density of the observed data for linear regression... |
| plotprior | Plot estimated marginal prior inclusion probabilities |
| postModeOrtho | Bayesian model selection and averaging under block-diagonal... |
| postProb | Obtain posterior model probabilities |
| postSamples | Extract posterior samples from an object |
| rnlp | Posterior sampling for regression parameters |
