nlar-methods | R Documentation |
Generic ‘nlar’ methods. Method ‘nlar’ is described in a
separate page: nlar
## S3 method for class 'nlar'
coef(object, ...)
## S3 method for class 'nlar'
fitted(object, ...)
## S3 method for class 'nlar'
residuals(object, initVal = TRUE, timeAttr = TRUE, ...)
## S3 method for class 'nlar'
deviance(object, ...)
## S3 method for class 'nlar'
mse(object, ...)
## S3 method for class 'nlar'
AIC(object, k = 2, ...)
## S3 method for class 'nlar'
BIC(object, ...)
## S3 method for class 'nlar'
MAPE(object, ...)
## S3 method for class 'nlar'
summary(object, ...)
## S3 method for class 'nlar'
plot(x, ask = interactive(), ...)
## S3 method for class 'nlar'
toLatex(object, digits, label, ...)
... |
further arguments to be passed to and from other methods |
initVal |
Whether to return NA for initial values in residuals/predicitons etc |
timeAttr |
Whether the time attributes should be returned in the output |
k |
numeric, the penalty per parameter to be used for AIC/BIC; the default k = 2 is the classical AIC |
x , object |
fitted ‘nlar’ object |
ask |
graphical option. See |
digits |
For print method, see |
label |
LaTeX label passed to the equation |
Mean Absolute Percent Error
Mean Square Error
Diagnostic plots
Antonio, Fabio Di Narzo
availableModels
for listing all currently available
models.
x <- log10(lynx)
mod.setar <- setar(x, m=2, thDelay=1, th=3.25)
mod.setar
AIC(mod.setar)
mse(mod.setar)
MAPE(mod.setar)
coef(mod.setar)
summary(mod.setar)
e <- residuals(mod.setar)
e <- e[!is.na(e)]
plot(e)
acf(e)
plot(x)
lines(fitted(mod.setar), lty=2)
legend(x=1910, y=3.9,lty=c(1,2), legend=c("observed","fitted"))
plot(mod.setar)
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