Package: meboot
Version: 1.5
Date: 2026-01-19
Title: Maximum Entropy Bootstrap for Time Series
Authors@R: c(
  person(given = c("Hrishikesh", "D."), family = "Vinod", role = "aut", email = "Vinod@fordham.edu"), 
  person(given = "Javier", family = "López-de-Lacalle", role = "aut", email = "javlacalle@yahoo.es"), 
  person(given = "Fred", family = "Viole", role = c("aut", "cre"), email = "ovvo.open.source@gmail.com")
  )
Maintainer: Fred Viole <ovvo.open.source@gmail.com>
Encoding: UTF-8
Depends: R (>= 3.5.0), dynlm, nlme, hdrcde
Suggests: boot, car, ConvergenceConcepts, geepack, lmtest, strucchange,
        plm, zoo
Description: 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
  <DOI:10.1016/j.jempfin.2003.06.002>) explains how the algorithm satisfies
  the ergodic theorem and the central limit theorem.
License: GPL (>= 2)
NeedsCompilation: yes
RoxygenNote: 7.2.3
LazyData: true
Packaged: 2026-01-18 21:45:58 UTC; fredv
Author: Hrishikesh D. Vinod [aut],
  Javier López-de-Lacalle [aut],
  Fred Viole [aut, cre]
Repository: CRAN
Date/Publication: 2026-01-19 06:50:10 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-05-01 01:42:36 UTC; unix
Archs: meboot.so.dSYM
