Package: PDXpower
Type: Package
Title: Time to Event Outcome in Experimental Designs of Pre-Clinical
        Studies
Version: 1.0.5
Date: 2025-12-15
Authors@R: c(
    person("Shanpeng", "Li", email = "lishanpeng0913@ucla.edu", 
        role = c("aut", "cre")),
    person("Gang", "Li", email = "vli@ucla.edu", 
        role = "ctb")
    )
Maintainer: Shanpeng Li <lishanpeng0913@ucla.edu>
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: nlme,ggplot2,ggpubr,frailtypack,stats, survival, parallel,
        ggplot2
RoxygenNote: 7.3.2
Suggests: testthat (>= 3.0.0), spelling
Language: en-US
LazyData: true
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://shanpengli.r-universe.dev
Date/Publication: 2025-12-15 00:46:07 UTC
RemoteUrl: https://github.com/shanpengli/pdxpower
RemoteRef: HEAD
RemoteSha: e1839fa403dd583232d5c9bbdfaed13d4430006b
NeedsCompilation: no
Packaged: 2026-07-14 06:00:04 UTC; root
Author: Shanpeng Li [aut, cre],
  Gang Li [ctb]