plot.dist_spec: Plot PMF and CDF for a dist_spec object

In epiforecasts/EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters

Plot PMF and CDF for a dist_spec object

Description

This function takes a ⁠<dist_spec>⁠ object and plots its probability mass function (PMF) and cumulative distribution function (CDF) using {ggplot2}. Note that currently uncertainty in distributions is not plot.

Usage

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

Arguments

x	A ⁠<dist_spec>⁠ object
...	Additional arguments to pass to {ggplot}.

Examples

#' # A fixed lognormal distribution with mean 5 and sd 1.
dist1 <- LogNormal(mean = 1.6, sd = 0.5, max = 20)
plot(dist1)

# An uncertain gamma distribution with mean 3 and sd 2
dist2 <- Gamma(
  mean = Normal(3, 0.5), sd = Normal(2, 0.5), max = 20
)
plot(dist2)

# Multiple distributions
plot(dist1 + dist2 + dist1)

# A combination of the two fixed distributions
plot(dist1 + dist1)

epiforecasts/EpiNow2 documentation built on May 13, 2024, 3:11 a.m.