pbox: Construction of Probability Box

In ipeglim: Imprecise Inferential Framework on Statistical Reasoning

Description

The function pbox generates a probability box of imprecise posterior distributions using the Markov chain produced by method=MH.

Usage

  pbox(x, ...)

  ## Default S3 method:
 pbox(x, ...)

  ## S3 method for class 'summary.imprecise'
 pbox(x, control = list(),
    pretty = FALSE, verbose = FALSE, ...)

Arguments

x	An object of class summary.imprecise or extraced by extractMCHAIN.
control	control variables
pretty	Logical; Defaults to TRUE; Would you like to smoothe the empirical cumulative density curve? See Details.
...	other arguments to be passed to pbox.

Details

The function ecdf is applied to the Markov chain at each extrem point. The function density is used to make the empirical cdf smooth.

If no object that contains a set of Markov chains is found, the update.imprecise procedure with method=MH is automatically taken.

Author(s)

Chel Hee Lee <[e-mail]>

References

Lee (2013) “Imprecise inferential framework”, PhD thesis.

See Also

density, ecdf, update.imprecise

ipeglim documentation built on May 2, 2019, 4:31 p.m.