Package: timeEL 0.9.1

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.

Authors:Paul Blanche [aut, cre], Frank Eriksson [ctb]

timeEL_0.9.1.tar.gz
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timeEL_0.9.1.tgz(r-4.4-any)timeEL_0.9.1.tgz(r-4.3-any)
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timeEL.pdf |timeEL.html
timeEL/json (API)

# Install 'timeEL' in R:
install.packages('timeEL', repos = c('https://paulowhite.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/paulowhite/timeel/issues

Datasets:
  • BMTplat - Bone Marrow Transplant Registry
  • BMTtcell - Bone Marrow Transplant Registry
  • Freireich - Acute Leukemia data from Freireich et al
  • SimA100 - Simulated competing risks data
  • melanoma5 - Melanoma competing risks data

On CRAN:

4 exports 0.91 score 0 dependencies 1 scripts

Last updated 22 days agofrom:5d2c887de0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winOKAug 30 2024
R-4.5-linuxOKAug 30 2024
R-4.4-winOKAug 30 2024
R-4.4-macOKAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:AalenJohansenKaplanMeierTwoSampleAalenJohansenTwoSampleKaplanMeier

Dependencies: