API for HBglm
Hierarchical Bayesian Regression for GLMs

Global functions
HBglm Man page
coef.hbglm Man page Source code
compute.init.guess Source code
default.init.val Source code
default.samples Source code
dinvgamma Source code
get.box.bounds Source code
get.init.vals Source code
get.stats Source code
hbglm Man page Source code
hbglm.model.control Man page Source code
hbglm.sampler.control Man page Source code
hbglm.varnames Source code
hblinear Source code
hblinear.bayesm Source code
hblinear.gibbs Source code
linear_list Man page
ll_logit Source code
ll_normal Source code
ll_poisson Source code
lp.betaj_theta.Sigma Source code
lp.betaj_theta.sigmaSq Source code
lp.betak_theta.sigmaSq Source code
lp.tauj_phi Source code
lp.tauj_priors Source code
lp.y_beta.alpha.tau Source code
lp.yj_beta.tau Source code
lp.yj_betaj.alpha.tauj Source code
make.var.names Source code
mcmc Source code
model.hbglm Source code
parseFormula Source code
predict.hbglm Man page Source code
print.hbglm Man page Source code
print.summary.hbglm Man page Source code
rinvgamma Source code
sample.stats Source code
scale.cols Source code
summary.hbglm Man page Source code
unscale.beta Source code
HBglm documentation built on May 2, 2019, 1:28 a.m.