prior.elicit: Elicit a prior distribution

In abnormally-distributed/abdisttools: Random Functions for Personal Use

Description

Prior elicitation

Usage

prior.elicit(coins = 100, bins = 9, min.value, max.value,
  distribution = "gaussian")

Arguments

coins	how many coins are you willing to invest? Defaults to 100.
bins	how many bins should the sample space be divided into?
min.value	what is the smallest number you expect to be possible for your sample space?
max.value	what is the largest number you expect to be possible for your sample space?
distribution	one of "gaussian", "beta", "half-t", or "gamma"

Examples

prior.elicit()

abnormally-distributed/abdisttools documentation built on May 5, 2019, 7:07 a.m.