Learn R Programming
⚠️There's a newer version (1.4-9.5) of this package.Take me there.

meboot (version 1.0-1)

Maximum Entropy Bootstrap for Time Series

Description

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.

Copy Link

Version

Install

install.packages('meboot')

Monthly Downloads

2,881

Version

1.0-1

License

GPL (>= 2)

Maintainer

Javier López-de-Lacalle

Last Published

September 29th, 2009

Functions in meboot (1.0-1)

null.ci

Get Confidence Interval Around Specified NullZero Total
olsHALL.b

OLS regression model for consumption
ullwan

Data about Some of the S&P 500 Stock Prices
slider.mts

Slider for Selecting a Single Time Series to Plot from a 'mts' Object
force.clt

Enforce Central Limit Theorem
zero.ci

Get Confidence Interval Around Zero
expand.sd

Expand the Standard Deviation of Resamples
USconsum

Consumption and Disposable Income Data (Annual 1948-1998)
USfygt

Long-term Treasury Bond Rates and Deficit Data Set (Annual 1948-200)
meboot

Generate Maximum Entropy Bootstrapped Time Series Ensemble
meboot.pdata.frame

Maximum Entropy Bootstrap for Panel Time Series Data
meboot.default

Generate Maximum Entropy Bootstrapped Time Series Ensemble