reven: Random Sampler for the "Even Rosenbrock Function"

In Rosenbrock: Extended Rosenbrock-Type Densities for Markov Chain Monte Carlo (MCMC) Sampler Benchmarking

Description

Random sampler for the full Rosenbrock function, with two vector parameters a and b.

Usage

reven(n,a,b,mu)

Arguments

n	Sample size.
mu	Density shift.
a	Parameters for odd index input.
b	Parameters for even index input.

Value

Returns a sample of size n from the "full" Rosenbrock distribution.

Examples

n = 100
a = b = rep(2,2)
mu = rep(1,2)

reven(n = n,mu = mu,a = a,b = b)

Rosenbrock documentation built on March 15, 2020, 5:06 p.m.