The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 [aut, cre], Frank Eriksson [ctb] |
Maintainer: | Paul Blanche <paulfblanche at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
CRAN checks: | timeEL results |
Reference manual: | timeEL.pdf |
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 |
Please use the canonical form https://CRAN.R-project.org/package=timeEL to link to this page.
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.
Health stats visible at Monitor.