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armaSearch = function( | |
xx, | |
minOrder=c(0,0), | |
maxOrder=c(5,5), | |
trace=FALSE ) | |
{ | |
bestAic = 1e9 | |
len = NROW( xx ) | |
for( p in minOrder[1]:maxOrder[1] ) for( q in minOrder[2]:maxOrder[2] ) | |
{ | |
if( p == 0 && q == 0 ) | |
{ | |
next | |
} | |
formula = as.formula( paste( sep="", "xx ~ arma(", p, ",", q, ")" ) ) | |
fit = tryCatch( armaFit( formula, data=xx ), | |
error=function( err ) FALSE, | |
warning=function( warn ) FALSE ) | |
if( !is.logical( fit ) ) | |
{ | |
fitAic = fit@fit$aic | |
if( fitAic < bestAic ) | |
{ | |
bestAic = fitAic | |
bestFit = fit | |
bestModel = c( p, q ) | |
} | |
if( trace ) | |
{ | |
ss = paste( sep="", "(", p, ",", q, "): AIC = ", fitAic ) | |
print( ss ) | |
} | |
} | |
else | |
{ | |
if( trace ) | |
{ | |
ss = paste( sep="", "(", p, ",", q, "): None" ) | |
print( ss ) | |
} | |
} | |
} | |
if( bestAic < 1e9 ) | |
{ | |
return( list( aic=bestAic, fit=bestFit, model=bestModel ) ) | |
} | |
return( FALSE ) | |
} |
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