bbreg (version 2.0.2)

plot.bbreg: plot.bbreg

Description

Function to build useful plots for bounded regression models.

Usage

# S3 method for bbreg
plot(x, which = c(1, 2, 3, 4), ask = TRUE, main = "", qqline = TRUE, ...)

Arguments

x

object of class "bbreg" containing results from the fitted model. If the model is fitted with envelope = 0, the Q-Q plot will be produced without envelopes.

which

a number of a vector of numbers between 1 and 4. Plot 1: Residuals vs. Index; Plot 2: Q-Q Plot (if the fit contains simulated envelopes, the plot will be with the simulated envelopes); Plot 3: Fitted means vs. Response; Plot 4: Residuals vs. Fitted means.

ask

logical; if TRUE, the user is aked before each plot.

main

character; title to be placed at each plot additionally (and above) all captions.

qqline

logical; if TRUE and the fit does *not* contain simulated envelopes, a qqline will be added to the normal Q-Q plot.

...

graphical parameters to be passed.

See Also

summary.bbreg, coef.bbreg, vcov.bbreg, fitted.bbreg, predict.bbreg

Examples

# NOT RUN {
n = 100; x = cbind(rbinom(n, 1, 0.5), runif(n, -1, 1)); v = runif(n, -1, 1);
z = simdata_bes(kap = c(1, 1, -0.5), lam = c(0.5, -0.5), x, v, repetitions = 1,
link.mean = "logit", link.precision = "log")
z = unlist(z)
fit = bbreg(z ~ x | v, envelope = 10)
plot(fit)
plot(fit, which = 2)
plot(fit, which = c(1,4), ask = FALSE)
# }