API for varbvs
Large-Scale Bayesian Variable Selection Using Variational Methods

Global functions
bayesfactor Man page Source code
betavar Source code
betavarmix Source code
computelfsrmix Source code
computevarlbmix Source code
cred Man page Source code
cytokine Man page
diagprod Source code
diagsq Man page Source code
diagsq2 Source code
diagsqt Man page Source code
dot Source code
int.gamma Source code
int.klbeta Source code
int.linear Source code
int.logit Source code
int.logitz Source code
leukemia Man page
logit Man page Source code
logpexp Man page Source code
logsigmoid Man page Source code
norm2 Source code
normalizelogweights Man page Source code
outerloop Source code
plot.varbvs Man page Source code
predict.varbvs Man page Source code
print.summary.varbvs Man page Source code
qnorm Source code
rand Man page Source code
randn Man page Source code
remove.covariate.effects Source code
rep.col Source code
rep.row Source code
sigmoid Man page Source code
sigmoid_rcpp Source code
slope Source code
subset.varbvs Man page Source code
summary.varbvs Man page Source code
tf2yn Source code
update_eta Man page Source code
update_etaz Man page Source code
updatestats_varbvsbin Man page Source code
updatestats_varbvsbinz Man page Source code
var1 Man page Source code
var1.cols Man page Source code
varbvs Man page Source code
varbvs-internal Man page
varbvs-package Man page
varbvsbf Man page Source code
varbvsbin Man page Source code
varbvsbinupdate Man page Source code
varbvsbinz Man page Source code
varbvsbinzindep Source code
varbvsbinzupdate Man page Source code
varbvscoefcred Man page Source code
varbvsindep Man page Source code
varbvsmix Man page Source code
varbvsmixupdate Man page Source code
varbvsnorm Man page Source code
varbvsnormindep Source code
varbvsnormupdate Man page Source code
varbvsnormupdate_rcpp Source code
varbvspve Man page Source code
varbvs documentation built on Sept. 8, 2017, 5:04 p.m.