SynergyLMM
Statistical Framework for in Vivo Drug Combination Studies
A framework for evaluating drug combination effects in preclinical in vivo studies. 'SynergyLMM' provides functions to analyze longitudinal tumor growth experiments using linear mixed-effects models, perform time-dependent analyses of synergy and antagonism, evaluate model diagnostics and performance, and assess both post-hoc and a priori statistical power. The calculation of drug combination synergy follows the statistical framework provided by Demidenko and Miller (2019, doi:10.1371/journal.pone.0224137). The implementation and analysis of linear mixed-effect models is based on the methods described by Pinheiro and Bates (2000, doi:10.1007/b98882), and Gałecki and Burzykowski (2013, doi:10.1007/978-1-4614-3900-4).
- Version1.0.1
- R versionR (≥ 4.0)
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release02/07/2025
Documentation
Team
Rafael Romero-Becerra
MaintainerShow author detailsZhi Zhao
Show author detailsRolesContributorTero Aittokallio
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 204 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 9 times.
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Last 365 days
This package has been downloaded 545 times in the last 365 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The day with the most downloads was Feb 08, 2025 with 44 downloads.
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Dependencies
- Imports14 packages
- Suggests4 packages