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: 1.0-1
Depends: R (≥ 2.0.0), dynlm, plm, kinship, survival, splines, nlme, lattice, zoo
Suggests: tcltk, geepack, car, lmtest, boot, hdrcde
Published: 2009-09-29
Author: Hrishikesh D. Vinod and Javier L\'opez-de-Lacalle
Maintainer: Javier L\'opez-de-Lacalle <javlacalle at yahoo.es>
License: GPL (≥ 2)
Citation: meboot citation info
In views: Econometrics, TimeSeries
CRAN checks: meboot results

Downloads:

Package source: meboot_1.0-1.tar.gz
MacOS X binary: meboot_1.0-1.tgz
Windows binary: meboot_1.0-1.zip
Reference manual: meboot.pdf
Vignettes: Maximum Entropy Bootstrap for Time Series: The meboot R Package
Old sources: meboot archive