Package: kmc 0.4-3

Yifan Yang

kmc: 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)<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>.

Authors:Yifan Yang [aut, cre, cph], Mai Zhou [aut]

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kmc/json (API)

# Install 'kmc' in R:
install.packages('kmc', repos = c('https://yfyang86.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/yfyang86/kmc/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.90 score 2 stars 4 scripts 221 downloads 8 mentions 3 exports 10 dependencies

Last updated 2 months agofrom:308cb8e5b1. Checks:OK: 1 ERROR: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-win-x86_64ERRORNov 01 2024
R-4.5-linux-x86_64ERRORNov 01 2024
R-4.4-win-x86_64ERRORNov 01 2024
R-4.4-mac-x86_64ERRORNov 01 2024
R-4.4-mac-aarch64ERRORNov 01 2024
R-4.3-win-x86_64ERRORNov 01 2024
R-4.3-mac-x86_64ERRORNov 01 2024
R-4.3-mac-aarch64ERRORNov 01 2024

Exports:kmc.bjtestkmc.solvekmc.solvelite

Dependencies:empliklatticeMASSMatrixMatrixModelsquantregRcpprootSolveSparseMsurvival