B C D E G H I M N P Q R S U X Y Z
bbPrior | Priors on model space for variable selection problems |
bfnormmix | Number of Normal mixture components under Normal-IW and Non-local priors |
bicprior | Class "msPriorSpec" |
binomPrior | Priors on model space for variable selection problems |
cil | Treatment effect estimation for linear models via Confounder Importance Learning using non-local priors. |
coef.mixturebf | Class "mixturebf" |
coefByModel | Class "msfit" |
coefByModel-method | Class "msfit" |
coefByModel-methods | Class "msfit" |
dalapl | Density and random draws from the asymmetric Laplace distribution |
ddir | Dirichlet density |
demom | Non-local prior density, cdf and quantile functions. |
demom-method | Non-local prior density, cdf and quantile functions. |
demom-methods | Non-local prior density, cdf and quantile functions. |
demomigmarg | Non-local prior density, cdf and quantile functions. |
dimom | Non-local prior density, cdf and quantile functions. |
diwish | Density for Inverse Wishart distribution |
dmom | Non-local prior density, cdf and quantile functions. |
dmomigmarg | Non-local prior density, cdf and quantile functions. |
dpostNIW | Posterior Normal-IWishart density |
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 |
getBIC | Obtain BIC and EBIC |
getBIC-method | Obtain BIC and EBIC |
getBIC-methods | Obtain BIC and EBIC |
getEBIC | Obtain BIC and EBIC |
getEBIC-method | Obtain BIC and EBIC |
getEBIC-methods | Obtain BIC and EBIC |
groupemomprior | Class "msPriorSpec" |
groupimomprior | Class "msPriorSpec" |
groupmomprior | Class "msPriorSpec" |
groupzellnerprior | Class "msPriorSpec" |
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. |
marginalNIW | Marginal likelihood under a multivariate Normal likelihood and a conjugate Normal-inverse Wishart prior. |
marginalNIW-method | Marginal likelihood under a multivariate Normal likelihood and a conjugate Normal-inverse Wishart prior. |
marginalNIW-methods | Marginal likelihood under a multivariate Normal likelihood and a conjugate Normal-inverse Wishart prior. |
mixturebf | Class "mixturebf" |
mixturebf-class | Class "mixturebf" |
modelbbprior | Class "msPriorSpec" |
modelbinomprior | Class "msPriorSpec" |
modelcomplexprior | 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" |
msfit.coef | Class "msfit" |
msfit.predict | 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 |
normalidprior | Class "msPriorSpec" |
palapl | Density and random draws from the asymmetric Laplace distribution |
pemom | Non-local prior density, cdf and quantile functions. |
pemomigmarg | Non-local prior density, cdf and quantile functions. |
pimom | Non-local prior density, cdf and quantile functions. |
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 | Non-local prior density, cdf and quantile functions. |
pmomigmarg | Non-local prior density, cdf and quantile functions. |
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 |
postSamples | Extract posterior samples from an object |
postSamples-method | Extract posterior samples from an object |
postSamples-methods | Extract posterior samples from an object |
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 | Non-local prior density, cdf and quantile functions. |
qmom | Non-local prior density, cdf and quantile functions. |
ralapl | Density and random draws from the asymmetric Laplace distribution |
rnlp | Posterior sampling for regression parameters |
rnlp-method | Posterior sampling for regression parameters |
rnlp-methods | Posterior sampling for regression parameters |
rpostNIW | Posterior Normal-IWishart density |
show-method | Class "mixturebf" |
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" |