VGAM (version 1.1-14)

plotvglm: Plots for VGLMs

Description

Currently this function plots the Pearson residuals versus the linear predictors (\(M\) plots) and plots the Pearson residuals versus the hat values (\(M\) plots).

Usage

plotvglm(x, which = "(All)", ...)

Value

Returns the object invisibly.

Details

This function is under development. Currently it plots the Pearson residuals against the predicted values (on the transformed scale) and the hat values. There are \(2M\) plots in total, therefore users should call par to assign, e.g., the mfrow argument. Note: Section 3.7 of Yee (2015) describes the Pearson residuals and hat values for VGLMs.

See Also

plotvgam, plotvgam.control, vglm.

Examples

if (FALSE) {
ndata <- data.frame(x2 = runif(nn <- 200))
ndata <- transform(ndata, y1 = rnbinom(nn, mu = exp(3+x2), size = exp(1)))
fit1 <- vglm(y1 ~ x2, negbinomial, data = ndata, trace = TRUE)
coef(fit1, matrix = TRUE)
par(mfrow = c(2, 2))
plot(fit1)

# Manually produce the four plots
plot(fit1, which = 1, col = "blue", las = 1, main = "main1")
abline(h = 0, lty = "dashed", col = "gray50")
plot(fit1, which = 2, col = "blue", las = 1, main = "main2")
abline(h = 0, lty = "dashed", col = "gray50")
plot(fit1, which = 3, col = "blue", las = 1, main = "main3")
plot(fit1, which = 4, col = "blue", las = 1, main = "main4")
}