aplms (version 0.1.0)

aplms.diag.plot: Diagnostic Plots for additive partial linear models with symmetric errors

Description

Diagnostic Plots for additive partial linear models with symmetric errors

Usage

aplms.diag.plot(model, which, labels = NULL, iden = FALSE, ...)

Value

Return an interactive menu with eleven options to make plots. This menu contains the follows graphics: 1: Response residuals against fited values. 2: Response residuals against time index. 3: Histogram of Response residuals. 4: Autocorrelation function of response residuals. 5: Partial autocorrelation function of response residuals. 6: Conditional quantile residuals against fited values. 7: Conditional quantile residuals against time index. 8: Histogram of conditional quantile residuals. 9: Autocorrelation function of conditional quantile residual. 10: Partial autocorrelation function of conditional quantile residuals. 11: QQ-plot of conditional quantile residuals.

Arguments

model

an object with the result of fitting additive partial linear models with symmetric errors.

which

an optional numeric value with the number of only plot that must be returned.

labels

a optional string vector specifying a labels plots.

iden

a logical value used to identify observations. If TRUE the observations are identified by user in the graphic window.

...

graphics parameters to be passed to the plotting routines.

Examples

data(temperature)
temperature.df = data.frame(temperature,time=1:length(temperature))
model<-aplms::aplms(temperature ~ 1,
                   npc=c("time"), basis=c("cr"),Knot=c(60),
                   data=temperature.df,family=Powerexp(k=0.3),p=1,
                   control = list(tol = 0.001,
                                  algorithm1 = c("P-GAM"),
                                  algorithm2 = c("BFGS"),
                                  Maxiter1 = 20,
                                  Maxiter2 = 25),
                   lam=c(10))
aplms.diag.plot(model, which = 1)