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timeEL: Time to Event Analysis via Empirical Likelihood Inference

Computation of t-year survival probabilities and t-year risks with right censored survival data. The Kaplan-Meier estimator is used to provide estimates for data without competing risks and the Aalen-Johansen estimator is used when there are competing risks. Confidence intervals and p-values are obtained using either usual Wald-type inference or empirical likelihood inference, as described in Thomas and Grunkemeier (1975) <doi:10.1080/01621459.1975.10480315> and Blanche (2020) <doi:10.1007/s10985-018-09458-6>. Functions for both one-sample and two-sample inference are provided. Unlike Wald-type inference, empirical likelihood inference always leads to consistent conclusions, in terms of statistical significance, when comparing two risks (or survival probabilities) via either a ratio or a difference.

Version: 0.9.1
Depends: R (≥ 2.10)
Suggests: km.ci, prodlim, survival, testthat (≥ 3.0.0)
Published: 2024-08-29
DOI: 10.32614/CRAN.package.timeEL
Author: Paul Blanche ORCID iD [aut, cre], Frank Eriksson [ctb]
Maintainer: Paul Blanche <paulfblanche at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: timeEL results

Documentation:

Reference manual: timeEL.pdf

Downloads:

Package source: timeEL_0.9.1.tar.gz
Windows binaries: r-devel: timeEL_0.9.1.zip, r-release: timeEL_0.9.1.zip, r-oldrel: timeEL_0.9.1.zip
macOS binaries: r-release (arm64): timeEL_0.9.1.tgz, r-oldrel (arm64): timeEL_0.9.1.tgz, r-release (x86_64): timeEL_0.9.1.tgz, r-oldrel (x86_64): timeEL_0.9.1.tgz

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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