Suggests: RGtk2 (>= 2.20.31), HSAUR, knitr, rmarkdown

Suggests: RGtk2 (>= 2.20.31), knitr, rmarkdown

Author: Sarah Friedrich, Frank Konietschke, Markus Pauly, Marc Ditzhaus, Philipp Steinhauer
Suggests: RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR

Packaged: 2022-01-17 17:01:09 UTC; sfriedrich

Title: Tests for Survival Data in General Factorial Designs
role = c("aut","cre"), email = "philipp.steinhauer@tu-dortmund.de"))
Description: Implemented are three Wald-type statistic and respective
permuted versions for null hypotheses formulated in terms of cumulative hazard rate functions, medians and the concordance measure, respectively, in the general framework of survival factorial designs with possibly heterogeneous survival and/or censoring distributions, for crossed designs with an arbitrary number of factors and nested designs with up to three factors.
Ditzhaus, Janssen, Pauly (2020) <arXiv: 2004.10818v2>
Imports: gridExtra (>= 2.3), shiny (>= 1.5.0), shinyWidgets (>= 0.5.4),
shinyjs (>= 2.0.0), shinythemes (>= 1.1.2), survival (>=

shinythemes (>= 1.1.2), survival (>= 3.2-7), survminer (>=

role = c("aut","cre"), email = "merle.munko@ovgu.de"))

Title: Gross Flows Estimation under Complex Surveys
Author: Acero William <wfaceror@unal.edu.co>, Guti�rrez Andr�s <andres.gutierrez@un.org>, Trujillo Leonardo <ltrujillo@unal.edu.co>
Description: The philosophy in the package is described in Stasny (1988) <doi:10.2307/1391558> and Guti�rrez, A., Trujillo, L. & Silva, N. (2014), <ISSN:1492-0921> to estimate the gross flows under complex surveys using a Markov chain approach with non response.

Description: Compute bivariate dependence measures and perform bivariate competing risks analysis under the generalized Farlie-Gumbel-Morgenstern (FGM) copula. See Shih and Emura (2016) <doi:10.1007/s00362-016-0865-5> and Shih and Emura (2017, in re-submission) for details.
Depends: R (>= 3.3.3), cmprsk, joint.Cox

Description: Compute bivariate dependence measures and perform bivariate competing risks analysis under the generalized Farlie-Gumbel-Morgenstern (FGM) copula. See Shih and Emura (2016) <doi:10.1007/s00362-016-0865-5> and Shih and Emura (2018, in re-submission) for details.