print.BayesSUR {BayesSUR}

print method for class BayesSUR

Description

Print a short summary of a BayesSUR class object. It includes the argument matching information, number of selected predictors based on thresholding the posterior mean of the latent indicator variable at 0.5 by default.

Usage

## S3 method for class 'BayesSUR'
print(x, Pmax = 0.5, ...)

Arguments

x

an object of class BayesSUR

Pmax

threshold that truncates the estimated coefficients based on thresholding the estimated latent indicator variable. Default is 0.5

...

other arguments

Value

Return a short summary from an object of class BayesSUR, including the number of selected predictors with mPIP>Pmax and the expected log pointwise predictive density estimates (i.e., elpd.LOO and elpd.WAIC).

Examples

data("exampleEQTL", package = "BayesSUR")
hyperpar <- list(a_w = 2, b_w = 5)

set.seed(9173)
fit <- BayesSUR(
  Y = exampleEQTL[["blockList"]][[1]],
  X = exampleEQTL[["blockList"]][[2]],
  data = exampleEQTL[["data"]], outFilePath = tempdir(),
  nIter = 10, burnin = 0, nChains = 1, gammaPrior = "hotspot",
  hyperpar = hyperpar, tmpFolder = "tmp/", output_CPO = TRUE
)

## check output
# show the print information
print(fit)