Package: multipleOutcomes 0.18.1

Han Zhang

multipleOutcomes: Joint Covariance and Treatment-Effect Tests for Multiple Outcomes

Fits generalized linear models, Cox proportional-hazards models, log-rank tests, generalized estimating equations, mixed models with repeated measures, Kaplan-Meier curves, quantile differences, and hierarchical net-benefit (win-difference) and log win-ratio statistics jointly across multiple endpoints, and returns the full asymptotic covariance matrix linking them. Implements PATED (Prognostic Assisted Treatment Effect Detection), a randomized-trial method that exploits balanced prognostic covariates to tighten standard errors and increase statistical power without introducing bias.

Authors:Han Zhang [aut, cre]

multipleOutcomes_0.18.1.tar.gz
multipleOutcomes_0.18.1.tar.gz(r-4.7-arm64)multipleOutcomes_0.18.1.tar.gz(r-4.7-x86_64)multipleOutcomes_0.18.1.tar.gz(r-4.6-arm64)multipleOutcomes_0.18.1.tar.gz(r-4.6-x86_64)
multipleOutcomes_0.18.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
multipleOutcomes/json (API)
NEWS

# Install 'multipleOutcomes' in R:
install.packages('multipleOutcomes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zhangh12/multipleoutcomes/issues

Pkgdown/docs site:https://zhangh12.github.io

Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • actg - ACTG 320 Clinical Trial Dataset
  • indo - Rectal Indomethacin for Prevention of Post-ERCP Pancreatitis
  • oak - OAK Phase III Trial of Atezolizumab vs Docetaxel in NSCLC
  • poplar - POPLAR Phase II Trial of Atezolizumab vs Docetaxel in NSCLC

On CRAN:

Conda:

openblas

2.00 score 6 scripts 458 downloads 15 exports 99 dependencies

Last updated from:402e22ca4d. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK185
linux-devel-x86_64OK183
source / vignettesOK206
linux-release-arm64OK174
linux-release-x86_64OK206
wasm-releaseOK146

Exports:coxph_gee_glm_jointCovariancekm_logrank_mmrm_nb_binarynb_continuousnb_ttenetbenefit_patedquantile_simulateMoDatawinratio_

Dependencies:abindbackportsbootbriobroomcallrcarcarDatacheckmateclicolorspacecorrplotcowplotcpp11crayonDerivdescdiffobjdoBydplyrevaluatefarverforecastFormulafracdifffsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqammrmmodelrmvtnormnlmenloptrnnetnumDerivotelpbkrtestpillarpkgbuildpkgconfigpkgloadpolynompraiseprocessxpspurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrprojrootrstatixS7sandwichscalesSparseMstringistringrsurvivaltestthattibbletidyrtidyselecttimeDateTMBurcautf8vctrsviridisLitewaldowithrzoo