Package: SynergyLMM 1.0.1.9000

Rafael Romero-Becerra

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>).

Authors:Rafael Romero-Becerra [aut, cre], Zhi Zhao [ctb], Tero Aittokallio [ctb]

SynergyLMM_1.0.1.9000.tar.gz
SynergyLMM_1.0.1.9000.zip(r-4.5)SynergyLMM_1.0.1.9000.zip(r-4.4)
SynergyLMM_1.0.1.9000.tgz(r-4.5-any)SynergyLMM_1.0.1.9000.tgz(r-4.4-any)
SynergyLMM_1.0.1.9000.tar.gz(r-4.5-noble)SynergyLMM_1.0.1.9000.tar.gz(r-4.4-noble)
SynergyLMM_1.0.1.9000.tgz(r-4.4-emscripten)SynergyLMM_1.0.1.9000.tgz(r-4.3-emscripten)
SynergyLMM.pdf |SynergyLMM.html
SynergyLMM/json (API)
NEWS

# Install 'SynergyLMM' in R:
install.packages('SynergyLMM', repos = c('https://rafromb.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rafromb/synergylmm/issues

Datasets:

On CRAN:

5.32 score 2 stars 82 downloads 22 exports 80 dependencies

Last updated 9 days agofrom:5dcb96e19b. Checks:6 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 11 2025
R-4.5-winOKFeb 11 2025
R-4.5-macOKFeb 11 2025
R-4.5-linuxOKFeb 11 2025
R-4.4-winOKFeb 11 2025
R-4.4-macOKFeb 11 2025

Exports:%>%APrioriPwrCookDistancegetRTVlmmModellmmModel_estimateslmmSynergylogLikSubjectDisplacementsObsvsPredplot_lmmModelplot_lmmSynergyplot_ObsvsPredplot_ranefDiagnosticsplot_residDiagnosticsplot_SynergyLMMPostHocPwrPwrPwrSampleSizePwrTimeranefDiagnosticsresidDiagnosticssimulateTumorGrowth

Dependencies:abindbackportsbayestestRbootbroomcarcarDatacheckmatecliclubSandwichcolorspacecowplotcpp11data.tabledatawizardDerivdoBydplyrfansifarverfBasicsFormulagenericsggplot2gluegssgtableinsightisobandlabelinglatticelifecyclelme4magrittrmarginaleffectsMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenlmeUnloptrnnetnumDerivpbkrtestperformancepillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangsandwichscalesSparseMspatialstablediststringistringrsurvivaltibbletidyrtidyselecttimeDatetimeSeriesutf8vctrsviridisLitewithrzoo

SynergyLMM - Guided Tutorial

Rendered fromSynergyLMM.Rmdusingknitr::rmarkdownon Feb 11 2025.

Last update: 2025-02-07
Started: 2024-11-11