plot.PLreg: Diagnostic Plots for PLreg Objects
In ffqueiroz/PLreg: Power Logit Regression for Modeling Bounded Data

plot.PLreg

R Documentation

Diagnostic Plots for PLreg Objects

Description

This function provides plots for diagnostic analysis of power logit regression models.

Usage

## S3 method for class 'PLreg'
plot(x, which = 1:4, type = "standardized", pch = "+", las = 1, cex = 0.8, ...)

Arguments

`x`	fitted model object of class "`PLreg`".
`which`	numeric specifying a subset of plots (numbers between 1 and 7). Default is `which = 1:4`.
`type`	character specifying the type of residuals, see `residuals.PLreg`. Default is `type = "standardized"`.
`pch, las, cex, ...`	graphical parameters (see `par`)

Details

The plot method for PLreg objects provides 7 types of diagnostic plots in the following order.

Residuals vs indexes of obs.: An index plot of the residuals versus indexes of observations.
Case-weight perturbation: An index plot of local influence based on the case-weight perturbation scheme.
Generalized leverage: A dispersion diagram of the generalized leverage versus the predicted values.
Residuals vs linear predictor: A dispersion diagram of the residuals versus the linear predictors.
Normal probability plot: A normal probability plot of the residuals.
Predicted vs observed values: A dispersion diagram of the predicted values versus the observed values.
Residuals vs v(z) function: A dispersion diagram of the v(z) function versus the residuals. For some power logit models, the v(z) function may be interpreted as weights in the estimation process. If family = "NO", the v(z) function is constant.

The which argument can be used to select a subset of the implemented plots. Default is which = 1:4.

Value

plot method for PLreg objects returns 7 types of diagnostic plots.

Examples

data("Firm")

fitPL <- PLreg(firmcost ~ sizelog + indcost | sizelog + indcost, data = Firm,
              family = "SLASH", zeta = 2.13)
par(mfrow = c(3,3))
plot(fitPL, type = "standardized")
par(mfrow = c(1, 1))

ffqueiroz/PLreg documentation built on March 1, 2023, 2:27 a.m.