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.
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:
remotes::install_github("reconverse/i2extras", build_vignettes = TRUE)An overview of i2extras is provided in the included vignettes:
vignette("peak_estimation", package = "i2extras")
vignette("fitting_epicurves", package = "i2extras")
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.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4