print.pppd: Print summary of the partial prior predictive distribution.

In carlislerainey/separation: Using informative priors to deal with separation in logistic regression models

Description

print.pppd() prints a summary for object of the class pppd

Usage

## S3 method for class 'pppd'
print(pppd, probs = c(0.01, 0.05, 0.25, 0.5, 0.75, 0.95, 0.99),
  round_to = 3)

Arguments

pppd	An object of class pppd.
probs	A numeric vector of probabilities with values in [0,1] a which to compute the quantile.
round_to	The number of decimal place to round the results.

Details

Print summary of the partial prior predictive distribution.

carlislerainey/separation documentation built on May 13, 2019, 12:45 p.m.