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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