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gets (version 0.1)

General-to-Specific (GETS) Model Selection

Description

Automated multi-path General-to-Specific (GETS) model selection of either an AR-X model with log-ARCH-X errors, or a log-ARCH-X model of the log-variance. The three main functions of the package are arx, getsm and getsv. The first function estimates an AR-X model with log-ARCH-X errors. The second function undertakes GETS model selection of the mean specification of an arx object, whereas the third function undertakes GETS model selection of the log-variance specification of an arx object.

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Version

Install

install.packages('gets')

Monthly Downloads

938

Version

0.1

License

GPL-2

Maintainer

Genaro Sucarrat

Last Published

October 15th, 2014

Functions in gets (0.1)

hpdata

Hoover and Perez (1999) data
coef.gets

Extraction functions for 'gets' objects
glog.ep

Adjust for zero values and compute log(abs(e)^p)
skewness.test

Chi-squared test for skewness in the standardised residuals
arx

Estimate an AR-X model with log-ARCH-X errors
gets-package

General-to-Specific (GETS) Model Selection
eqwma

Equally Weighted Moving Average (EqWMA) of the pth. exponentiated values
jb.test

Jarque-Bera test for normality
regs.mean

Create the regressors of an AR-X model
regs.var

Create the regressors of a log-ARCH-X model
getsm

General-to-Specific (GETS) Model Selection of an AR-X model with log-ARCH-X errors
info.criterion

Computes the the value of an information criterion
ols

Accurate, robust and fast OLS estimation with the QR decomposition
coef.arx

Extraction functions for 'arx' objects