projections
Project Future Case Incidence
Provides functions and graphics for projecting daily incidence based on past incidence, and estimates of the serial interval and reproduction number. Projections are based on a branching process using a Poisson-distributed number of new cases per day, similar to the model used for estimating R in 'EpiEstim' or in 'earlyR', and described by Nouvellet et al. (2017) <doi:10.1016/j.epidem.2017.02.012>. The package provides the S3 class 'projections' which extends 'matrix', with accessors and additional helpers for handling, subsetting, merging, or adding these objects, as well as dedicated printing and plotting methods.
- Version0.6.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release03/23/2023
Documentation
Team
Thibaut Jombart
MaintainerShow author detailsZhian N. Kamvar
Tim Taylor
Pierre Nouvellet
Show author detailsRolesAuthorSangeeta Bhatia
Show author detailsRolesContributorStephane Ghozzi
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 376 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 14 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 5,156 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jul 21, 2024 with 146 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Suggests9 packages
- Reverse Suggests1 package