Kaplan-Meier Estimator with Constraints for Right Censored Data -- a Recursive Computational Algorithm

Given constraints for right censored data, we use a recursive computational algorithm to calculate the the "constrained" Kaplan-Meier estimator. The constraint is assumed given in linear estimating equations or mean functions. We also illustrate how this leads to the empirical likelihood ratio test with right censored data and accelerated failure time model with given coefficients. EM algorithm from emplik package is used to get the initial value. The properties and performance of the EM algorithm is discussed in Mai Zhou and Yifan Yang (2015) and Mai Zhou and Yifan Yang (2017) <10.1002/wics.1400>. More applications could be found in Mai Zhou (2015) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2-3 by Yifan Yang, a month ago


Browse source code at https://github.com/cran/kmc

Authors: Yifan Yang <[email protected]> , Mai Zhou<[email protected]>

Documentation:   PDF Manual  

Task views:

LGPL-3 license

Depends on compiler, rootSolve, emplik

Linking to Rcpp

See at CRAN