GDILM.ME
Spatial Modeling of Infectious Diseases with Co-Variate Error
Provides tools for simulating from spatial modeling of individual level of infectious disease transmission when co-variates measured with error, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based model within Susceptible-Infectious-Removed (SIR) compartmental frameworks.
- Version1.2.1
- R version≥ 2.10
- LicenseMIT
- Needs compilation?No
- Last release07/09/2024
Team
Ruwani Herath
Mahmoud Torabi
Show author detailsRolesContributorLeila Amiri
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 141 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 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 1,517 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 23, 2024 with 43 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.
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Dependencies
- Imports6 packages