meboot: Maximum Entropy Bootstrap for Time Series

This package performs maximum entropy density based dependent data bootstrap. An algorithm is provided to create a population of time series (ensemble) without assuming stationarity. The reference paper (Vinod, H.D., 2004) explains how the algorithm satisfies the ergodic theorem and the central limit theorem.

Version: 0.0.1
Depends: R (≥ 2.0.0)
Suggests: tcltk, plm, geepack
Date: 2007/01/26
Author: Hrishikesh D. Vinod and Javier López-de-Lacalle
Maintainer: Javier López-de-Lacalle <javlacalle at yahoo.es>
License: GPL version 2 or newer
In views: Econometrics
CRAN checks: meboot results

Downloads:

Package source: meboot_0.0.1.tar.gz
MacOS X binary: meboot_0.0.1.tgz
Windows binary: meboot_0.0.1.zip
Reference manual: meboot.pdf