# Moment and Inverse Moment Bayes Factors

## Documentation for package ‘mombf’ version 1.8.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

bbPrior | Priors on model space for variable selection problems
binomPrior | Priors on model space for variable selection problems
dalapl | Density and random draws from the asymmetric Laplace distribution
demom | Moment prior and inverse moment prior.
demom-method | Moment prior and inverse moment prior.
demom-methods | Moment prior and inverse moment prior.
dimom | Moment prior and inverse moment prior.
dmom | Moment prior and inverse moment prior.
emomLM | Bayesian variable selection and model averaging for linear and probit models via non-local priors.
emomPM | Bayesian variable selection and model averaging for linear and probit models via non-local priors.
emomprior | Class "msPriorSpec"
eprod | Expectation of a product of powers of Normal or T random variables
g2mode | Moment and inverse moment prior elicitation.
hald | Hald Data
igprior | Class "msPriorSpec"
imombf | Moment and inverse moment Bayes factors for linear models.
imombf.lm | Moment and inverse moment Bayes factors for linear models.
imomknown | Bayes factors for moment, inverse moment and Zellner-Siow g-prior.
imomprior | Class "msPriorSpec"
imomunknown | Bayes factors for moment, inverse moment and Zellner-Siow g-prior.
mode2g | Moment and inverse moment prior elicitation.
modelbbprior | Class "msPriorSpec"
modelbinomprior | Class "msPriorSpec"
modelsearchBlockDiag | Bayesian variable selection for linear models via non-local priors.
modelSelection | Bayesian variable selection for linear models via non-local priors.
modelunifprior | Class "msPriorSpec"
mombf | Moment and inverse moment Bayes factors for linear models.
mombf.lm | Moment and inverse moment Bayes factors for linear models.
momknown | Bayes factors for moment, inverse moment and Zellner-Siow g-prior.
momprior | Class "msPriorSpec"
momunknown | Bayes factors for moment, inverse moment and Zellner-Siow g-prior.
msfit | Class "msfit"
msfit-class | Class "msfit"
msPriorSpec | Class "msPriorSpec"
msPriorSpec-class | Class "msPriorSpec"
nlpMarginal | Marginal density of the observed data for linear regression with Normal, two-piece Normal, Laplace or two-piece Laplace residuals under non-local and Zellner priors
nlpmarginals | Marginal density of the observed data for linear regression with Normal, two-piece Normal, Laplace or two-piece Laplace residuals under non-local and Zellner priors
palapl | Density and random draws from the asymmetric Laplace distribution
pemom | Moment prior and inverse moment prior.
pimom | Moment prior and inverse moment prior.
pimomMarginalK | Marginal density of the observed data for linear regression with Normal, two-piece Normal, Laplace or two-piece Laplace residuals under non-local and Zellner priors
pimomMarginalU | Marginal density of the observed data for linear regression with Normal, two-piece Normal, Laplace or two-piece Laplace residuals under non-local and Zellner priors
pmom | Moment prior and inverse moment prior.
pmomLM | Bayesian variable selection and model averaging for linear and probit models via non-local priors.
pmomMarginalK | Marginal density of the observed data for linear regression with Normal, two-piece Normal, Laplace or two-piece Laplace residuals under non-local and Zellner priors
pmomMarginalU | Marginal density of the observed data for linear regression with Normal, two-piece Normal, Laplace or two-piece Laplace residuals under non-local and Zellner priors
pmomPM | Bayesian variable selection and model averaging for linear and probit models via non-local priors.
postModeBlockDiag | Bayesian model selection and averaging under block-diagonal X'X for linear models.
postModeOrtho | Bayesian model selection and averaging under block-diagonal X'X for linear models.
postProb | Obtain posterior model probabilities
postProb-method | Obtain posterior model probabilities
postProb-methods | Obtain posterior model probabilities
pplPM | Bayesian variable selection and model averaging for linear and probit models via non-local priors.
ppmodel | Bayesian variable selection and model averaging for linear and probit models via non-local priors.
priorp2g | Moment and inverse moment prior elicitation.
qimom | Moment prior and inverse moment prior.
qmom | Moment prior and inverse moment prior.
ralapl | Density and random draws from the asymmetric Laplace distribution
rnlp | Posterior sampling for Non-Local Priors
rnlp-method | Posterior sampling for Non-Local Priors
rnlp-methods | Posterior sampling for Non-Local Priors
show-method | Class "msfit"
unifPrior | Priors on model space for variable selection problems
x.hald | Hald Data
y.hald | Hald Data
zbfknown | Bayes factors for moment, inverse moment and Zellner-Siow g-prior.
zbfunknown | Bayes factors for moment, inverse moment and Zellner-Siow g-prior.
zellnerbf | Moment and inverse moment Bayes factors for linear models.
zellnerbf.lm | Moment and inverse moment Bayes factors for linear models.
zellnerprior | Class "msPriorSpec"