nlg.post.sample: Sampling from Posterior of Negative Log Gamma prior and...

In serieslcb: Lower Confidence Bounds for Binomial Series System

Description

Randomly sample from the posterior distribution resulting from a NLG prior and Binomial data.

Usage

nlg.post.sample(sample.size, shape, scale, s, n)

Arguments

sample.size	The number of draws from the posterior distribution.
shape	The shape parameter for the NLG prior.
scale	The scale parameter for the NLG prior.
s	The number of successes for the binomial data (should be a scalar).
n	The number of tests for the binomial data (should be a scalar).

Examples

nlg.post.sample(sample.size=50, shape=.2, scale=1, s=29, n=30)

serieslcb documentation built on July 9, 2019, 9:03 a.m.