README.md

In i2extras: Functions to Work with 'incidence2' Objects

Scope

i2extras adds additional functionality to the incidence2 package.

What does it do?

The main features of the package include:

• fit_curve() and growth_rate(): fit a trend (poisson / negative binomial) to an incidence2 object and calculate the associated growth rate.

• add_rolling_average(): add a rolling average to an incidence2 object.

• bootstrap(): generates a bootstrapped incidence2 object by re-sampling, with replacement, the original dates of events.

• find_peak(): locates the peak time of the epicurve.

• estimate_peak(): uses bootstrap to estimate the peak time (and related confidence interval) of a partially observed outbreak.

Installing the package

You can install the released version of {i2extras} from CRAN with:

install.packages("i2extras")

The development version of {i2extras} can be installed from GitHub with: wzxhzdk:1

Resources

Vignettes

An overview of i2extras is provided in the included vignettes:

• vignette("peak_estimation", package = "i2extras")

• vignette("fitting_epicurves", package = "i2extras")

Getting help online

Bug reports and feature requests should be posted on github using the issue system. All other questions should be posted on the RECON slack channel see https://www.repidemicsconsortium.org/forum/ for details on how to join.

i2extras documentation built on March 31, 2023, 5:23 p.m.