rmsb: print.blrm – R documentation

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print.blrm

Print blrm() Results

Description

Prints main results from blrm() along with indexes and predictive accuracy and their highest posterior density intervals computed from blrmStats.

Usage

## S3 method for class 'blrm'
print(
  x,
  dec = 4,
  coefs = TRUE,
  intercepts = x$non.slopes < 10,
  prob = 0.95,
  ns = 400,
  title = NULL,
  ...
)

Arguments

`x`	object created by `blrm()`
`dec`	number of digits to print to the right of the decimal
`coefs`	specify `FALSE` to suppress printing parameter estimates, and in integer k to print only the first k
`intercepts`	set to `FALSE` to suppress printing intercepts. Default is to print them unless there are more than 9.
`prob`	HPD interval probability for summary indexes
`ns`	number of random samples of the posterior draws for use in computing HPD intervals for accuracy indexes
`title`	title of output, constructed by default
`...`	passed to `prModFit`

Author(s)

Frank Harrell

Examples

## Not run: 
  f <- blrm(...)
  options(lang='html')   # default is lang='plain'; also can be latex
  f               # print using defaults
  print(f, posterior.summary='median')   # instead of post. means

## 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