Package: SynergyLMM 1.1.3.9000

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 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, <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:
SynergyLMM_1.1.3.9000.tar.gz
SynergyLMM_1.1.3.9000.zip(r-4.7)SynergyLMM_1.1.3.9000.zip(r-4.6)SynergyLMM_1.1.3.9000.zip(r-4.5)
SynergyLMM_1.1.3.9000.tgz(r-4.6-any)SynergyLMM_1.1.3.9000.tgz(r-4.5-any)
SynergyLMM_1.1.3.9000.tar.gz(r-4.7-any)SynergyLMM_1.1.3.9000.tar.gz(r-4.6-any)
SynergyLMM_1.1.3.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SynergyLMM/json (API)
| # 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
- grwth_data - Example Tumor Growth Data
Last updated from:2b3f7f3069. Checks:2 ERROR, 7 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | ERROR | 293 | ||
| source / vignettes | OK | 370 | ||
| linux-release-x86_64 | ERROR | 298 | ||
| macos-release-arm64 | OK | 224 | ||
| macos-oldrel-arm64 | OK | 246 | ||
| windows-devel | OK | 257 | ||
| windows-release | OK | 263 | ||
| windows-oldrel | OK | 244 | ||
| wasm-release | OK | 116 |
Exports:%>%APrioriPwrCookDistancegetRTVlmmModellmmModel_estimateslmmSynergylogLikSubjectDisplacementsObsvsPredplot_lmmModelplot_lmmSynergyplot_ObsvsPredplot_ranefDiagnosticsplot_residDiagnosticsplot_SynergyLMMPostHocPwrPwrPwrSampleSizePwrTimeranefDiagnosticsresidDiagnosticssimulateTumorGrowth
Dependencies:abindbackportsbayestestRbootbroomcarcarDatacheckmatecliclubSandwichcolorspacecowplotcpp11data.tabledatawizardDerivdoBydplyrfarverfBasicsforecastFormulafracdiffgenericsggplot2gluegssgtableinsightisobandlabelinglatticelifecyclelme4lmtestmagrittrmarginaleffectsMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenlmeUnloptrnnetnumDerivpbkrtestperformancepillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMspatialstablediststringistringrsurvivaltibbletidyrtidyselecttimeDatetimeSeriesurcautf8vctrsviridisLitewithrzoo
