CRAN/E | meboot

meboot

Maximum Entropy Bootstrap for Time Series

Installation

About

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.

Citation meboot citation info

Key Metrics

Version 1.4-9.4
R ≥ 3.5.0
Published 2023-08-22 241 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks meboot results

Downloads

Yesterday 73 0%
Last 7 days 157 -12%
Last 30 days 831 -23%
Last 90 days 5.036 +9%
Last 365 days 15.908 +30%

Maintainer

Maintainer

Fred Viole

fviole@fordham.edu

Authors

Hrishikesh D. Vinod
Javier López-de-Lacalle
Fred Viole

Material

Reference manual
Package source

In Views

Econometrics
TimeSeries

Vignettes

Maximum Entropy Bootstrap for Time Series: Toy Example Exposition
Maximum Entropy Bootstrap for Time Series: The meboot R Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

meboot archive

Depends

R ≥ 3.5.0
dynlm
nlme
tdigest
hdrcde

Suggests

boot
car
ConvergenceConcepts
geepack
lmtest
strucchange
plm
zoo

Reverse Depends

generalCorr

Reverse Imports

NNS

Reverse Suggests

ftsa