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:Shanpeng Li [aut, cre], Gang Li [ctb]

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

Datasets:
  • animals1 - Simulated preliminary animals uncensored data
  • animals2 - Simulated preliminary animals censored data

On CRAN:

Conda:

2.70 score 1 stars 2 scripts 156 downloads 6 exports 109 dependencies

Last updated from:e1839fa403. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK160
source / vignettesOK198
linux-release-x86_64OK167
macos-release-arm64OK110
macos-oldrel-arm64OK137
windows-develOK115
windows-releaseOK109
windows-oldrelOK112
wasm-releaseOK132

Exports:plotpowerPowANOVAPowANOVADatPowFrailtyPowFrailtyDatSimPDXdata

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicodetoolscolorspacecommonmarkcorrplotcowplotcpp11DerivdigestdoBydoParalleldplyrfarverfastmapfontawesomeforeachforecastFormulafracdifffrailtypackfsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclelme4lmtestmagrittrmarqLevAlgMASSMatrixmatrixcalcMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrnlmenloptrnnetnumDerivotelpbkrtestpillarpkgconfigpolynompromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrootSolverstatixS7sassscalesshinysourcetoolsSparseMstatmodstringistringrsurvC1survivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxtablezoo