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multipleOutcomes

Joint Covariance and Treatment-Effect Tests for Multiple Outcomes

v0.18.1 · Jun 15, 2026 · MIT + file LICENSE

Description

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.

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r-devel-windows-x86_64 OK
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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
ERROR r-devel-linux-x86_64-debian-gcc

package dependencies

Package required but not available: ‘ggpubr’

Packages suggested but not available for checking: 'pec', 'randomForestSRC'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies dplyr ggplot2 ggpubr mmrm mvtnorm rlang sandwich stringr survival tidyr tidyselect multipleOutcomes

Version History

5 tracked
updated 0.18.1 ← 0.16.2 diff Jun 15, 2026
updated 0.16.2 ← 0.4 diff May 18, 2026
new 0.4 Mar 10, 2026
updated 0.4 ← 0.2 diff May 29, 2024
new 0.2 Mar 7, 2024