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The desired properties from the original maximum entropy bootstrap function

The following example will demonstrate the

The following paper is available with additional examples and R-code:

Vinod, Hrishikesh D. and Viole, Fred,

**on CRAN, the function**`meboot (v 1.4-8)`

**was introduced. Below is a gentle introduction to its capabilities and a link to a reference paper with further applications to improved Monte Carlo simulations.**`mebootSpear`

The desired properties from the original maximum entropy bootstrap function

**were retained, while incorporating the additional argument**`meboot`

**. The original function created bootstrap replicates with unit rank-correlations to the original time-series,**`setSpearman`

**relaxes this condition.**`setSpearman`

**AirPassengers**The following example will demonstrate the

**rank-correlation results from the average of 1,000 bootstrap replicates of the**`mebootSpear`

**dataset.**`AirPassengers`

`library(meboot)`

output <- mebootSpear(AirPassengers, setSpearman = 0, xmin = 0)$rowAvg

`cor(output, AirPassengers, method = "spearman")`

[1] 0.01695065

**Reference**The following paper is available with additional examples and R-code:

Vinod, Hrishikesh D. and Viole, Fred,

*(June 7, 2020). Available at SSRN: https://ssrn.com/abstract=3621614***Arbitrary Spearman’s Rank Correlations in Maximum Entropy Bootstrap and Improved Monte Carlo Simulations**