IU: Improper uniform distribution

In davharris/mistnet2: Neural Networks with Latent Random Variables

Description

This distribution produces a flat prior with no bounds. Its gradient and log-density are always zero. It's improper because its integral is not one (and is not finite). Sampling from the distribution is not defined, so calling rIU results in an error.

Usage

IU()

dIU(x, mu, log)

rIU(n, mu)

Arguments

x	vector of quantiles
mu	vector of location parameters (not used)
log	logical; if TRUE, probabilities p are instead given as log(p)
n	number of samples

davharris/mistnet2 documentation built on May 14, 2019, 9:28 p.m.