print.rmsb: Basic Print for Bayesian Parameter Summary

In rmsb: Bayesian Regression Modeling Strategies

Basic Print for Bayesian Parameter Summary

Description

For a Bayesian regression fit prints the posterior mean, median, SE, highest posterior density interval, and symmetry coefficient from the posterior draws. For a given parameter, the symmetry measure is computed using the distSym function.

Usage

## S3 method for class 'rmsb'
print(x, prob = 0.95, dec = 4, intercepts = TRUE, pr = TRUE, ...)

Arguments

x	an object created by an rms Bayesian fitting function
prob	HPD interval coverage probability (default is 0.95)
dec	amount of rounding (digits to the right of the decimal)
intercepts	set to FALSE to not print intercepts
pr	set to FALSE to return an unrounded matrix and not print
...	ignored

Value

matrix (rounded if pr=TRUE)

Author(s)

Frank Harrell

Examples

## Not run: 
  f <- blrm(...)
  print.rmsb(f)

## End(Not run)

rmsb documentation built on Sept. 11, 2024, 8:12 p.m.