plot.univariateML: Plot, Lines and Points Methods for Maximum Likelihood...

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plot.univariateMLR Documentation

Plot, Lines and Points Methods for Maximum Likelihood Estimates

Description

The plot, lines, and points methods for univariateML objects.

Usage

## S3 method for class 'univariateML'
plot(x, range = NULL, ...)

## S3 method for class 'univariateML'
lines(x, range = NULL, ...)

## S3 method for class 'univariateML'
points(x, range = NULL, ...)

Arguments

x

a univariateML object.

range

range of x values to plot, i.e. c(lower, upper).

...

parameters passed to plot, lines, or points.

Value

An invisible copy of x.

Examples

plot(mlweibull(datasets::precip), main = "Annual Precipitation in US Cities")
lines(mlgamma(datasets::precip), lty = 2)
rug(datasets::precip)

JonasMoss/univariateML documentation built on Feb. 6, 2024, 2:21 p.m.