Package: SynergyLMM Title: Statistical Framework for in Vivo Drug Combination Studies Version: 1.1.3.9000 Authors@R: c(person("Rafael", "Romero-Becerra", , "rafrombec@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3935-2647")), person("Zhi", "Zhao", email = "zhi.zhao@medisin.uio.no", role = c("ctb")), person("Tero", "Aittokallio", email = "t.a.aittokallio@medisin.uio.no", role = c("ctb"))) Description: A framework for evaluating drug combination effects in preclinical in vivo studies. 'SynergyLMM' provides functions to analyze longitudinal tumor growth experiments using mixed-effects models, perform time-resolved 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, ). The implementation and analysis of linear mixed-effect models is based on the methods described by Pinheiro and Bates (2000, ), and GaƂecki and Burzykowski (2013, ). License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) Imports: magrittr (>= 2.0.3), rlang, dplyr (>= 1.1.4), ggplot2 (>= 3.5.1), cowplot (>= 1.1.3), nlme (>= 3.1-165), nlmeU, fBasics, car, MASS, performance, lattice, marginaleffects, clubSandwich Suggests: lme4, knitr, rmarkdown, testthat (>= 3.0.0) Config/testthat/edition: 3 Depends: R (>= 4.0) LazyData: true VignetteBuilder: knitr URL: https://github.com/RafRomB/SynergyLMM BugReports: https://github.com/RafRomB/SynergyLMM/issues Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake make libicu-dev Repository: https://rafromb.r-universe.dev Date/Publication: 2026-05-21 14:44:13 UTC RemoteUrl: https://github.com/rafromb/synergylmm RemoteRef: HEAD RemoteSha: 2b3f7f30698fd782346170dc96a689d8b84e9070 NeedsCompilation: no Packaged: 2026-06-20 06:08:00 UTC; root Author: Rafael Romero-Becerra [aut, cre] (ORCID: ), Zhi Zhao [ctb], Tero Aittokallio [ctb] Maintainer: Rafael Romero-Becerra