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. |