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timeEL  

Time to Event Analysis via Empirical Likelihood Inference
View on CRAN: Click here


Download and install timeEL package within the R console
Install from CRAN:
install.packages("timeEL")

Install from Github:
library("remotes")
install_github("cran/timeEL")

Install by package version:
library("remotes")
install_version("timeEL", "0.9.1")



Attach the package and use:
library("timeEL")
Maintained by
Paul Blanche
[Scholar Profile | Author Map]
First Published: 2024-08-29
Latest Update: 2024-08-29
Description:
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.
How to cite:
Paul Blanche (2024). timeEL: Time to Event Analysis via Empirical Likelihood Inference. R package version 0.9.1, https://cran.r-project.org/web/packages/timeEL. Accessed 04 Apr. 2025.
Previous versions and publish date:
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Complete documentation for timeEL
Functions, R codes and Examples using the timeEL R package
Full timeEL package functions and examples
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