Package: multipleOutcomes
Title: Joint Covariance and Treatment-Effect Tests for Multiple
        Outcomes
Version: 0.16.2
Authors@R: 
    person("Han", "Zhang", , "zhangh.ustc@gmail.com", role = c("aut", "cre"))
Description: 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.
URL: https://github.com/zhangh12/multipleOutcomes,
        https://zhangh12.github.io/multipleOutcomes/
BugReports: https://github.com/zhangh12/multipleOutcomes/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
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)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-05-17 14:24:30 UTC; zhhan
Author: Han Zhang [aut, cre]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 07:00:09 UTC
Built: R 4.4.3; x86_64-apple-darwin20; 2026-05-18 08:19:01 UTC; unix
Archs: multipleOutcomes.so.dSYM
