"blasso"-class object containing samples from
the posterior distribution of a Bayesian lasso model## S3 method for class 'blasso':
print(x, ...)
## S3 method for class 'blasso':
summary(object, burnin = 0, ...)
## S3 method for class 'blasso':
plot(x, which=c("coef", "s2", "lambda2", "tau2i"),
burnin = 0, ... )
## S3 method for class 'summary.blasso':
print(x, ...)"blasso"-class object for that must be named
object for the generic methods summary.blasso"blasso"-class object that must be named x
for the generic printing and plotting methods
print.summary.blasso and
x$Tprint.blasso, or
plot.defaultsummary.blasso returns a "summary.blasso"-class
object, which is a list containing (a subset of) the items below.
The other functions do not return values.thinx$Tx$Tsummary of x$mu and
the columns of x$betasummary of x$s2summary of x$lambda2summary of the columns of x$tau2iprint.blasso prints the call followed by a
brief summary of the MCMC run and a suggestion to try
the summary and plot commands. plot.blasso uses an appropriate
plot command
on the list entries of the "blasso"-class object thus
visually summarizing the samples from the posterior distribution of
each parameter in the model depending on the which
argument supplied
summary.blasso uses the summary command
on the list entries of the "blasso"-class object thus
summarizing the samples from the posterior distribution of each
parameter in the model
print.summary.monomvn calls print.blasso
on the object and then prints the result of
summary.blasso
blasso