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, and quantile differences
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.
| Version: |
0.16.2 |
| Depends: |
R (≥ 3.5) |
| Imports: |
dplyr, ggplot2, ggpubr, mmrm (≥ 0.3.15), mvtnorm, rlang, sandwich, stringr, survival, tidyr, tidyselect |
| Suggests: |
asaur, coin, iBST, invGauss, JM, joint.Cox, knitr, momentfit, numDeriv, pec, randomForestSRC, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-05-18 |
| DOI: |
10.32614/CRAN.package.multipleOutcomes |
| Author: |
Han Zhang [aut, cre] |
| Maintainer: |
Han Zhang <zhangh.ustc at gmail.com> |
| BugReports: |
https://github.com/zhangh12/multipleOutcomes/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/zhangh12/multipleOutcomes,
https://zhangh12.github.io/multipleOutcomes/ |
| NeedsCompilation: |
yes |
| Materials: |
README, NEWS |
| CRAN checks: |
multipleOutcomes results |
Documentation:
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