Time to Event Analysis via Empirical Likelihood Inference R package timeEL version 0.9.1 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. Software Depends: R (>= 2.10) Suggests: km.ci, prodlim, survival, testthat (>= 3.0.0) Paul Blanche <paulfblanche@gmail.com> Comprehensive R Archive Network (CRAN) Paul Blanche [aut, cre] (ORCID: <https://orcid.org/0000-0003-1415-7976>), Frank Eriksson [ctb] GPL (>= 3) 2024-08-29 application/tgz https://CRAN.R-project.org/package=timeEL doi:10.32614/CRAN.package.timeEL