prior.two.parameters: Construct discrete uniform prior for two parameters

In LearnBayes: Functions for Learning Bayesian Inference

Description

Constructs a discrete uniform prior distribution for two parameters

Usage

prior.two.parameters(parameter1, parameter2)

Arguments

parameter1	vector of values of first parameter
parameter2	vector of values of second parameter

Value

matrix of uniform probabilities where the rows and columns are labelled with the parameter values

Author(s)

Jim Albert

Examples

prior.two.parameters(c(1,2,3,4),c(2,4,7))

Example output

           2          4          7
1 0.08333333 0.08333333 0.08333333
2 0.08333333 0.08333333 0.08333333
3 0.08333333 0.08333333 0.08333333
4 0.08333333 0.08333333 0.08333333

LearnBayes documentation built on May 1, 2019, 7:03 p.m.