General-to-Specific (GETs) Model Selection


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Documentation for package ‘AutoSEARCH’ version 1.01

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AutoSEARCH-package General-to-Specific (GETS) Model selection
AutoSEARCH General-to-Specific (GETS) Model selection
ewma Equally Weighted Moving Average (EWMA) of the pth. exponentiated residuals
gedestp Estimates the shape parameter of a standardised Generalised Error Distribution (GED)
gedlogl Log-likelihood of a standardised Generalised Error Distribution (GED)
gets.mean General-to-Specific (GETS) model selection of the mean specification
gets.vol General-to-Specific (GETS) model selection of a log-volatility specification
gLag Lag a series
gLog.ep Adjust for zero values and compute log[abs(e)^p]
info.criterion Computes the the value of an information criterion
jb.test Jarque-Bera test for normality
ols.fit1 Fast and accurate OLS estimation by means of QR decomposition
ols.fit2 Fast and accurate OLS estimation by means of QR decomposition
regs.mean.sm Creates the regressors of the mean specification of a SEARCH model
regs.vol.sm Creates the regressors of the log-volatility specification of a SEARCH model
skewness.test Chi-square test skewness in the standardised residuals
sm Estimates a SEARCH model