Package: PDXpower 1.0.5
PDXpower: Time to Event Outcome in Experimental Designs of Pre-Clinical Studies
Conduct simulation-based customized power calculation for clustered time to event data in a mixed crossed/nested design, where a number of cell lines and a number of mice within each cell line are considered to achieve a desired statistical power, motivated by Eckel-Passow and colleagues (2021) <doi:10.1093/neuonc/noab137> and Li and colleagues (2025) <doi:10.51387/25-NEJSDS76>. This package provides two commonly used models for powering a design, linear mixed effects and Cox frailty model. Both models account for within-subject (cell line) correlation while holding different distributional assumptions about the outcome. Alternatively, the counterparts of fixed effects model are also available, which produces similar estimates of statistical power.
Authors:
PDXpower_1.0.5.tar.gz
PDXpower_1.0.5.zip(r-4.7)PDXpower_1.0.5.zip(r-4.6)PDXpower_1.0.5.zip(r-4.5)
PDXpower_1.0.5.tgz(r-4.6-any)PDXpower_1.0.5.tgz(r-4.5-any)
PDXpower_1.0.5.tar.gz(r-4.7-any)PDXpower_1.0.5.tar.gz(r-4.6-any)
PDXpower_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PDXpower/json (API)
| # Install 'PDXpower' in R: |
| install.packages('PDXpower', repos = c('https://shanpengli.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shanpengli/pdxpower/issues
Last updated from:e1839fa403. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 160 | ||
| source / vignettes | OK | 198 | ||
| linux-release-x86_64 | OK | 167 | ||
| macos-release-arm64 | OK | 110 | ||
| macos-oldrel-arm64 | OK | 137 | ||
| windows-devel | OK | 115 | ||
| windows-release | OK | 109 | ||
| windows-oldrel | OK | 112 | ||
| wasm-release | OK | 132 |
Exports:plotpowerPowANOVAPowANOVADatPowFrailtyPowFrailtyDatSimPDXdata
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicodetoolscolorspacecommonmarkcorrplotcowplotcpp11DerivdigestdoBydoParalleldplyrfarverfastmapfontawesomeforeachforecastFormulafracdifffrailtypackfsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclelme4lmtestmagrittrmarqLevAlgMASSMatrixmatrixcalcMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrnlmenloptrnnetnumDerivotelpbkrtestpillarpkgconfigpolynompromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrootSolverstatixS7sassscalesshinysourcetoolsSparseMstatmodstringistringrsurvC1survivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxtablezoo
