Introduction to mebootSpear() Function

[This article was first published on, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

In the latest version of meboot (v 1.4-8) on CRAN, the function mebootSpear 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.

The desired properties from the original maximum entropy bootstrap function meboot were retained, while incorporating the additional argument setSpearman.  The original function created bootstrap replicates with unit rank-correlations to the original time-series, setSpearman relaxes this condition.

The following example will demonstrate the mebootSpear rank-correlation results from the average of 1,000 bootstrap replicates of the AirPassengers dataset.

library(meboot) output <- mebootSpear(AirPassengers, setSpearman = 0, xmin = 0)$rowAvg
cor(output, AirPassengers, method = "spearman") [1] 0.01695065

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

Vinod, Hrishikesh D. and Viole, Fred, Arbitrary Spearman’s Rank Correlations in Maximum Entropy Bootstrap and Improved Monte Carlo Simulations (June 7, 2020). Available at SSRN: 

Introduction to mebootSpear() Function was first posted on July 11, 2020 at 6:05 am.
©2020 "". Use of this feed is for personal non-commercial use only. If you are not reading this article in your feed reader, then the site is guilty of copyright infringement. Please contact me at

To leave a comment for the author, please follow the link and comment on their blog: offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)