DClusterm
Model-Based Detection of Disease Clusters
Model-based methods for the detection of disease clusters using GLMs, GLMMs and zero-inflated models. These methods are described in 'V. Gómez-Rubio et al.' (2019) doi:10.18637/jss.v090.i14 and 'V. Gómez-Rubio et al.' (2018) doi:10.1007/978-3-030-01584-8_1.
- Version1.0-1
- R version≥ 2.10 parallel,
- LicenseGPL-3
- Needs compilation?No
- DClusterm citation info
- Last release02/25/2020
Documentation
Team
Virgilio Gomez-Rubio
MaintainerShow author detailsBarry Rowlingson
Show author detailsRolesAuthorPaula Esther Moraga Serrano
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 288 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 11 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 3,111 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 Sep 11, 2024 with 33 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
- Depends3 packages
- Imports2 packages
- Suggests4 packages