rprobMat: Generate matrix of (conditional) probability distributions

In rje42/contingency: Discrete Multivariate Probability Distributions

Generate matrix of (conditional) probability distributions

Description

Generates discrete probability distributions in a matrix.

Usage

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

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

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

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.

Value

A tables object containing random distributions.

Functions

• rcondProbMat(): Random conditional distributions

Examples

dat <- rprobMat(10, c(2,2,2))

rje42/contingency documentation built on Sept. 9, 2024, 6:32 p.m.