Sample from Uniform(0, 1)

Generate a random number uniformly sampled on the range 0 to 1; this is the most basic of all random number functions in monty and all other algorithms are composed from this. Quite often, you will want a number on $[0, 1]$ (e.g., for a Bernoulli trial), and this function is the most efficient way of generating one.

Usage

monty_random_real(state)

monty_random_n_real(n_samples, state)

Arguments

state

The random number state, from monty_rng_create

n_samples

The number of samples to take, per stream. When using the multiple-sample interface, all other parameters are held constant (per stream).

Value

A vector of random numbers, the same length as the number of streams in state.

Examples

state <- monty_rng_create()
monty_random_real(state)
#> [1] 0.1939092
monty_random_n_real(5, state)
#> [1] 0.2963319 0.8661954 0.9584540 0.4874878 0.5368272