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Plot multiplicative heteroskedasticity FGLS confidence intervals

Source: R/plot.R
plot.gls_mult.Rd

Plots the normal Wald confidence intervals for the mean coefficients of a gls_mult() fit, color-coded by the test decision at the stored significance level, matching plot.hcinfer(). Only the mean block is shown, consistent with confint.gls_mult() and tests.gls_mult().

Usage

# S3 method for class 'gls_mult'
plot(x, parm, ...)

Arguments

x

An object returned by gls_mult().

parm

Optional coefficient names or integer positions. Selection follows the same rules as confint.gls_mult() and tests.gls_mult().

...

Unused. Passing named arguments raises an error.

Value

A ggplot2::ggplot() object.

See also

gls_mult(), confint.gls_mult(), tests.gls_mult()

Examples

fit <- lm(expenditure ~ income, data = PublicSchools)
result <- gls_mult(fit)
plot(result)

plot(result, parm = "income")