rmsb: print.rmsb – R documentation

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print.rmsb

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

Bayesian Regression Modeling Strategies

v0.0.2

GPL (>= 3)

Authors

Frank Harrell [aut, cre] (<https://orcid.org/0000-0002-8271-5493>), Ben Goodrich [ctb] (contributed Stan code), Ben Bolker [ctb] (wrote original code that is folded into the pdensityContour function), Doug Bates [ctb] (write original code for highest posterior density interval that is folded into the HPDint function)

Initial release

2021-02-27