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

In 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

Author(s)

Sam Abbott

Examples

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

# An uncertain gamma distribution with mean 3 and sd 2
gamma <- dist_spec(
  mean = 3, sd = 2, mean_sd = 0.5, sd_sd = 0.5, max = 20,
  distribution = "gamma"
)
plot(gamma)

# Multiple distributions
plot(lognormal + gamma + lognormal)

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

EpiNow2 documentation built on Sept. 26, 2023, 5:11 p.m.