summary.bkmrfit: Summarizing BKMR model fits

In bkmr: Bayesian Kernel Machine Regression

Summarizing BKMR model fits

Description

summary method for class "bkmrfit"

Usage

## S3 method for class 'bkmrfit'
summary(
  object,
  q = c(0.025, 0.975),
  digits = 5,
  show_ests = TRUE,
  show_MH = TRUE,
  ...
)

Arguments

object	an object of class "bkmrfit"
q	quantiles of posterior distribution to show
digits	the number of digits to show when printing
show_ests	logical; if TRUE, prints summary statistics of posterior distribution
show_MH	logical; if TRUE, prints acceptance rates from the Metropolis-Hastings algorithm
...	further arguments passed to or from other methods.

Value

No return value, prints more detailed summary of fit to console

Examples

## First generate dataset
set.seed(111)
dat <- SimData(n = 50, M = 4)
y <- dat$y
Z <- dat$Z
X <- dat$X

## Fit model with component-wise variable selection
## Using only 100 iterations to make example run quickly
## Typically should use a large number of iterations for inference
set.seed(111)
fitkm <- kmbayes(y = y, Z = Z, X = X, iter = 100, verbose = FALSE, varsel = TRUE)
summary(fitkm)

bkmr documentation built on March 28, 2022, 9:11 a.m.