Moment and Inverse Moment Bayes factors


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Documentation for package ‘mombf’ version 1.3.4

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bbPrior Priors on model space for variable selection problems
binomPrior Priors on model space for variable selection problems
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.
g2mode Moment and inverse moment prior elicitation.
hald Hald Data
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.
imomunknown Bayes factors for moment, inverse moment and Zellner-Siow g-prior.
mode2g Moment and inverse moment prior elicitation.
modelSelection Bayesian variable selection for linear models via non-local priors.
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.
momunknown Bayes factors for moment, inverse moment and Zellner-Siow g-prior.
msPriorSpec-class Class "msPriorSpec"
nlpmarginals Marginal density of the observed data for linear models under a given model, using non-local prior distributions for the regression coefficients.
pemom Moment prior and inverse moment prior.
pimom Moment prior and inverse moment prior.
pimomMarginalK Marginal density of the observed data for linear models under a given model, using non-local prior distributions for the regression coefficients.
pimomMarginalU Marginal density of the observed data for linear models under a given model, using non-local prior distributions for the regression coefficients.
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 models under a given model, using non-local prior distributions for the regression coefficients.
pmomMarginalU Marginal density of the observed data for linear models under a given model, using non-local prior distributions for the regression coefficients.
pmomPM Bayesian variable selection and model averaging for linear and probit models via non-local priors.
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.
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.