bsp: Define a Beta-Stacy Process

In jntrcs/BnpSysRel: Bayesian Non-Parametric Estimates of System Reliability

Description

Define a Beta-Stacy Process

Usage

bsp(support, centeringMeasure, precision, calculateMoments = FALSE)

Arguments

support	A numeric vector indicating the points at which the support for the BSP is defined
centeringMeasure	The mean or centering measure of the BSP at each point on the support or a function that can be evaluated at each point
precision	A constant indicating the precision of the BSP (Currently, the precision cannot vary over the support).
calculateMoments	This is used to calculate the second moment while creating the bsp. The moment is used when merging components with other components. If this function is only being used to create a prior, it can normally be set to false.

Details

The most common use case for this function will be defining BSPs to use as priors. The precision reflects the uncertainty in the prior. In general, a one unit increase in the precision is equivalent to one additional observation.

Value

An object representing a Beta-Stacy Process.

Examples

bsp(support=c(1,5), centeringMeasure=c(0.2,0.4), precision=2)

jntrcs/BnpSysRel documentation built on May 16, 2019, 9:09 p.m.