Title: Kaplan - Meier estimator with constraints for right censored
data -- a recursive computational algorithm
Author: Yifan Yang <yifan.yang@uky.edu> , Mai Zhou<mai@ms.uky.edu>
Description: Calculate NPMLE with constraints for right censored data. This package give a recursive computational algorithm for 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. EM algorithm (emplik) is used to get the initial value.
Depends: R (>= 2.13.1), compiler, rootSolve, emplik, Rcpp

Title: Kaplan-Meier Estimator with Constraints for Right Censored Data
Author: Yifan Yang [aut,cre], Mai Zhou [aut]
Description: Linearly constrained Kaplan-Meier estimator for right censored data. This version does empirical likelihood ratio test with right censored data with linear type constraint and hypothesis testing for coefficients in accelerated failure time model.
Depends: R (>= 2.13.1), compiler, rootSolve, emplik

Author: Yifan Yang <yifan.yang@transwarp.io> , Mai Zhou<mai@ms.uky.edu>
Description: 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)<doi: 10.1007/s00180-015-0567-9> and Mai Zhou and Yifan Yang (2017) <10.1002/wics.1400>. More applications could be found in Mai Zhou (2015) <doi: 10.1201/b18598>.

Authors@R: c(person("Yifan", "Yang",  role = c("aut", "cre","cph"),
Description: 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)<doi: 10.1007/s00180-015-0567-9> and Mai Zhou and Yifan Yang (2017) <doi: 10.1002/wics.1400>. More applications could be found in Mai Zhou (2015) <doi: 10.1201/b18598>.
Depends: R (>= 3.5), compiler, rootSolve, emplik
Suggests: survival, ggplot2, tidyr, testthat (>= 3.0.0)
Packaged: 2022-11-22 01:45:11 UTC; yifanyang