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" |