betareg (version 2.0-0)

plot.betareg: Diagnostic Plots for betareg Objects

Description

Various types of standard diagnostic plots can be produced, involving various types of residuals, influence measures etc. Half-normal plots can be produced using a simulation approach.

Usage

## S3 method for class 'betareg':
plot(x, which = 1:4,
  caption = c("Residuals vs indices of obs.", "Cook's distance plot",
    "Generalized leverage vs predicted values", "Residuals vs linear predictor", 
    "Half-normal plot of residuals"),
    sub.caption = paste(deparse(x$call), collapse = ""), main = "", 
    ask = prod(par("mfcol")) < length(which) && dev.interactive(), 
    ..., type = "deviance", nsim = 100, level = 0.9)
x{fitted model object of class "betareg".}
  which{if a subset of the plots is required, specify a subset of the numbers 1:8.}
  caption{captions to appear above the plots.}
  sub.caption{common title-above figures if there are multiple.}
  main{title to each plot-in addition to the above caption.}
  ask{logical. If TRUE, the user is asked before each plot.}
  ...{other parameters to be passed through to plotting functions.}
  type{character indicating type of residual to be used, see residuals.betareg.}
  nsim{number of simulations in half-normal plots.}
  level{confidence level in half-normal plots.}
Ferrari, S.L.P., and Cribari-Neto, F. (2004).
  Beta Regression for Modeling Rates and Proportions.
  Journal of Applied Statistics, 31(7), 799--815.
betareg
data("GasolineYield", package = "betareg")
gy <- betareg(yield ~ gravity + pressure + temp10 + temp, data = GasolineYield)
par(mfrow = c(3, 2))
plot(gy, which = 1:5)
regression