An implementation of an observable for Markov Chain Monte Carlo simulations (like the currently out-dated MonteCarlo.jl).

During a Markov chain Monte Carlo simulation a Markov walker (after thermalization) walks through configuration space according to the equilibrium distribution. Typically, one measures observables along the Markov path, records the results, and in the end averages the measurements. MonteCarloObservable.jl provides all the necessary tools for conveniently conducting these types of measurements, including estimation of one-sigma error bars through binning or jackknife analysis.

In the REPL, switch to pkg mode (by pressing ]) and enter

add MonteCarloObservable

Alternatively, you can install the package per

using Pkg
Pkg.add("MonteCarloObservable")

Look at the documentation for more information.