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

In univariateML: Maximum Likelihood Estimation for Univariate Densities

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)

Example output

univariateML documentation built on Jan. 25, 2022, 5:09 p.m.