Package: survivalREC 1.1

survivalREC: Nonparametric Estimation of the Distribution of Gap Times for Recurrent Events

Provides estimates for the bivariate and trivariate distribution functions and bivariate and trivariate survival functions for censored gap times. Two approaches, using existing methodologies, are considered: (i) the Lin's estimator, which is based on the extension the Kaplan-Meier estimator of the distribution function for the first event time and the Inverse Probability of Censoring Weights for the second time (Lin DY, Sun W, Ying Z (1999) <doi:10.1093/biomet/86.1.59> and (ii) another estimator based on Kaplan-Meier weights (Una-Alvarez J, Meira-Machado L (2008) <https://w3.math.uminho.pt/~lmachado/Biometria_conference.pdf>). The proposed methods are the landmark estimators based on subsampling approach, and the estimator based on weighted cumulative hazard estimator. The package also provides nonparametric estimator conditional to a given continuous covariate. All these methods have been submitted to be published.

Authors:Gustavo Soutinho [aut, cre], Luis Meira-Machado [aut], Artur Araujo [ctb], Ana Moreira [ctb]

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survivalREC.pdf |survivalREC.html✨
survivalREC/json (API)
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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

15 exports 0.00 score 4 dependencies 5 scripts 118 downloads

Last updated 1 years agofrom:6dfe78177d. Checks:OK: 9. Indexed: yes.

Exports:BeranIPCWdfKMKMWKMW3dfKMWdfLDM3dfLDMdfLIN3dfLINdfmultidfNWWplot.multidfWCH3dfWCHdf

Dependencies:KernSmoothlatticeMatrixsurvival