Package: PDXpower 1.0.4

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 (2024) <doi:10.48550/arXiv.2404.08927>. 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_1.0.4.tar.gz
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PDXpower.pdf |PDXpower.html
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:

3.40 score 1 stars 2 scripts 442 downloads 7 exports 98 dependencies

Last updated 2 months agofrom:5ac7527200. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-winOKMar 25 2025
R-4.5-macOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-winOKMar 25 2025
R-4.4-macOKMar 25 2025
R-4.4-linuxOKMar 25 2025
R-4.3-winOKMar 25 2025
R-4.3-macOKMar 25 2025

Exports:plotpowerPowANOVAPowANOVADatPowerTablePowFrailtyPowFrailtyDatSimPDXdata

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11crayonDerivdigestdoBydplyrfansifarverfastmapfontawesomeFormulafrailtypackfsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelme4magrittrMASSMatrixmatrixcalcMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrootSolverstatixsassscalesshinysourcetoolsSparseMstatmodstringistringrsurvC1survivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxtable