print.feature: Print method for "feature" class

In FBMS: Flexible Bayesian Model Selection and Model Averaging

Print method for "feature" class

Description

Print method for "feature" class

Usage

## S3 method for class 'feature'
print(
  x,
  dataset = FALSE,
  fixed = 0,
  alphas = FALSE,
  labels = FALSE,
  round = FALSE,
  ...
)

Arguments

x	An object of class "feature"
dataset	Set the regular covariates as columns in a dataset
fixed	How many of the first columns in dataset are fixed and do not contribute to variable selection
alphas	Print a "?" instead of actual alphas to prepare the output for alpha estimation
labels	Should the covariates be named, or just referred to as their place in the data.frame.
round	Should numbers be rounded when printing? Default is FALSE, otherwise it can be set to the number of decimal places.
...	Not used.

Value

String representation of a feature

Examples

result <- gmjmcmc(x = matrix(rnorm(600), 100),
y = matrix(rnorm(100), 100), 
P = 2, 
transforms = c("p0", "exp_dbl"))
print(result$populations[[1]][1])

FBMS documentation built on Sept. 13, 2025, 1:09 a.m.