Package: emplik 1.3-1

emplik: Empirical Likelihood Ratio for Censored/Truncated Data

Empirical likelihood ratio tests for means/quantiles/hazards from possibly censored and/or truncated data. Now does regression too. This version contains some C code.

Authors:Mai Zhou.

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emplik.pdf |emplik.html✨
emplik/json (API)

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

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

52 exports 2.50 score 7 dependencies 11 dependents 1 mentions 35 scripts 928 downloads

Last updated 1 years agofrom:6499006531. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-win-x86_64NOTEAug 20 2024
R-4.5-linux-x86_64NOTEAug 20 2024
R-4.4-win-x86_64NOTEAug 20 2024
R-4.4-mac-x86_64NOTEAug 20 2024
R-4.4-mac-aarch64NOTEAug 20 2024
R-4.3-win-x86_64OKAug 20 2024
R-4.3-mac-x86_64OKAug 20 2024
R-4.3-mac-aarch64OKAug 20 2024

Exports:BJnointbjtestbjtest1dbjtestIIcumsumsurvDnRel.cen.EMel.cen.EM2el.cen.kmc1del.cen.testel.ltrc.EMel.testel.test.wtel.test.wt2el.trun.testemplikH.discemplikH.disc2emplikH1.testemplikH1BemplikH1PemplikH2.testemplikH2BemplikH2PemplikHs.disc2emplikHs.test2findLnewfindULfindUL2findULoldfindUnewgradfgradf2gradf3llogllogpllogpplogelrlogwelrLTRCMMRtimeRankRegTestRankRegTestHredistFROCnpROCnp2WCYWdataclean2Wdataclean3Wdataclean5WKMWRegEstWRegTest

Dependencies:latticeMASSMatrixMatrixModelsquantregSparseMsurvival

Readme and manuals

Help Manual

Help pageTopics
Empirical likelihood for mean functional/hazard functional with possibly censored data.emplik-package emplik
The Buckley-James censored regression estimatorBJnoint
Test the Buckley-James estimator by Empirical Likelihoodbjtest
Test the Buckley-James estimator by Empirical Likelihood, 1-dim onlybjtest1d
Alternative test of the Buckley-James estimator by Empirical LikelihoodbjtestII
Empirical likelihood ratio for mean with right, left or doubly censored data, by EM algorithmel.cen.EM
Empirical likelihood ratio test for a vector of means with right, left or doubly censored data, by EM algorithmel.cen.EM2
Empirical likelihood ratio for 1 mean constraint with right censored datael.cen.kmc1d
Empirical likelihood ratio for mean with right censored data, by QP.el.cen.test
Empirical likelihood ratio for mean with left truncated and right censored data, by EM algorithmel.ltrc.EM
Empirical likelihood ratio test for the means, uncensored datael.test
Weighted Empirical Likelihood ratio for mean, uncensored datael.test.wt
Weighted Empirical Likelihood ratio for mean(s), uncensored datael.test.wt2
Empirical likelihood ratio for mean with left truncated datael.trun.test
Empirical likelihood ratio for discrete hazard with right censored, left truncated dataemplikH.disc
Two sample empirical likelihood ratio for discrete hazards with right censored, left truncated data, one parameter.emplikH.disc2
Empirical likelihood for hazard with right censored, left truncated dataemplikH1.test
Return binomial empirical likelihood ratio for the given lambda, with right censored dataemplikH1B
Return Poisson Empirical likelihood ratio for the given lambda, with right censored dataemplikH1P
Empirical likelihood for weighted hazard with right censored, left truncated dataemplikH2.test
Return binomial empirical likelihood ratio for the given lambda, with 2-sample right censored dataemplikH2B
Return Poisson Empirical likelihood ratio for the given lambda, with 2-sample right censored dataemplikH2P
Two sample empirical likelihood ratio for discrete hazards with right censored, left truncated data. Many constraints.emplikHs.disc2
Two sample empirical likelihood ratio test for hazards with right censored, left truncated data. Many constraints.emplikHs.test2
Find the Wilks Confidence Interval Lower Bound from the Given (empirical) Likelihood Ratio FunctionfindLnew
Find the Wilks Confidence Interval from the Given (empirical) Likelihood Ratio FunctionfindUL
Find the Wilks Confidence Interval from the Given (empirical) Likelihood Ratio FunctionfindUL2
Find the Wilks Confidence Interval from the Given (empirical) Likelihood Ratio FunctionfindULold
Find the Wilks Confidence Interval Upper Bound from the Given (empirical) Likelihood Ratio FunctionfindUnew
Multiple Myeloma Datamyeloma
Test the AFT model Rank Regression estimator by Empirical LikelihoodRankRegTest
Test the AFT model, Rank Regression estimator by (Hazard)Empirical LikelihoodRankRegTestH
Test the ROC curve by Empirical LikelihoodROCnp
Test the ROC curve by Empirical LikelihoodROCnp2
Smallcell Lung Cancer Datasmallcell
Compute the casewise weighted regression estimator for AFT modelWRegEst
Test the case weighted regression estimator by Empirical LikelihoodWRegTest