doi:10.48550/arXiv.2409.07917>. Therefore, an asymptotic test and a permutation test are incorporated with a Wald-type test statistic. The asymptotic test takes the asymptotic exact dependence structure of the test statistics into account to gain more power. Furthermore, confidence intervals for RMTL contrasts can be calculated and plotted and a stepwise extension that can improve the power of the multiple tests is available.">

GFDrmtl: Multiple RMTL-Based Tests for Competing Risks Data in General Factorial Designs (original) (raw)

We implemented multiple tests based on the restricted mean time lost (RMTL) for general factorial designs as described in Munko et al. (2024) <doi:10.48550/arXiv.2409.07917>. Therefore, an asymptotic test and a permutation test are incorporated with a Wald-type test statistic. The asymptotic test takes the asymptotic exact dependence structure of the test statistics into account to gain more power. Furthermore, confidence intervals for RMTL contrasts can be calculated and plotted and a stepwise extension that can improve the power of the multiple tests is available.

Version: 0.1.0
Imports: GFDmcv, GFDrmst, lpSolve, shinyWidgets, shinyMatrix, shiny (≥ 1.5.0), tippy (≥ 0.1.0), mvtnorm, MASS (≥ 7.3-53), plyr (≥ 1.8.6), shinyjs (≥ 2.0.0), shinythemes (≥ 1.1.2)
Suggests: mstate
Published: 2024-10-03
DOI: 10.32614/CRAN.package.GFDrmtl
Author: Marc Ditzhaus [aut], Dennis Dobler [aut], Merle Munko [aut, cre], Jannes Walter [aut]
Maintainer: Merle Munko <merle.munko at ovgu.de>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: GFDrmtl results

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