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contingency (version 0.0.10)

rprobMat: Generate matrix of (conditional) probability distributions

Description

Generates discrete probability distributions in a matrix.

Usage

rprobMat(n, dim, d, alpha = 1)

rcondProbMat(n, dim, d, alpha = 1, condition)

Value

A tables object containing random distributions.

Arguments

n

number of distributions

dim

dimension of contingency table for distributions

d

number of dimensions of table

alpha

parameter to use in dirichlet distribution

condition

which dimensions should be conditioned upon

Functions

  • rcondProbMat: Random conditional distributions

Details

Returns an object of class tables consisting of discrete probability distributions. Each distribution is assumed to be a contingency table of dimension dim, and the probabilities are generated using a Dirichlet distribution with parameters all equal to alpha.

Examples

Run this code
dat <- rprobMat(10, c(2,2,2))

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