Package: censCov 1.0-0

Sy Han (Steven) Chiou

censCov: Linear Regression with a Randomly Censored Covariate

Implementations of threshold regression approaches for linear regression models with a covariate subject to random censoring, including deletion threshold regression and completion threshold regression. Reverse survival regression, which flip the role of response variable and the covariate, is also considered.

Authors:Jing Qian, Sy Han Chiou

censCov_1.0-0.tar.gz
censCov_1.0-0.tar.gz(r-4.5-noble)censCov_1.0-0.tar.gz(r-4.4-noble)
censCov_1.0-0.tgz(r-4.4-emscripten)censCov_1.0-0.tgz(r-4.3-emscripten)
censCov.pdf |censCov.html✨
censCov/json (API)

Peer review:

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1 exports 0.00 score 3 dependencies 1 scripts 189 downloads

Last updated 7 years agofrom:c470bb7506. Checks:OK: 2. Indexed: yes.

Exports:thlm

Dependencies:latticeMatrixsurvival