permDep: Permutation Tests for General Dependent Truncation

Implementations of permutation approach to hypothesis testing for quasi-independence of truncation time and failure time. The implemented approaches are powerful against non-monotone alternatives and thereby offer protection against erroneous assumptions of quasi-independence. The proposed tests use either a conditional or an unconditional method to evaluate the permutation p-value. The conditional method was first developed in Tsai (1980) <doi:10.2307/2336059> and Efron and Petrosian (1992) <doi:10.1086/171931>. The unconditional method provides a valid approximation to the conditional method, yet computationally simpler and does not hold fixed the size of each risk sets. Users also have an option to carry out the proposed permutation tests in a parallel computing fashion.

Version: 1.0.2
Depends: R (≥ 3.4.0)
Imports: BB, survival, parallel
Published: 2018-07-05
Author: Sy Han (Steven) Chiou [aut, cre]
Maintainer: Sy Han (Steven) Chiou <schiou at utdallas.edu>
BugReports: http://github.com/stc04003/permDep/issues
License: GPL (≥ 3)
URL: http://github.com/stc04003/permDep
NeedsCompilation: yes
CRAN checks: permDep results

Downloads:

Reference manual: permDep.pdf
Package source: permDep_1.0.2.tar.gz
Windows binaries: r-devel: permDep_1.0.2.zip, r-release: permDep_1.0.2.zip, r-oldrel: permDep_1.0.2.zip
OS X binaries: r-release: permDep_1.0.2.tgz, r-oldrel: permDep_1.0.2.tgz
Old sources: permDep archive

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