DropCens: Distributionally Robust Progressive Type-II Censoring Inference

Implements distributionally robust optimization algorithms for progressive Type-II censored Weibull lifetime data under Wasserstein ambiguity balls. Provides primal-dual convex optimization solvers and robust inference bounds.

Version: 0.1.0
Published: 2026-08-09
DOI: 10.32614/CRAN.package.DropCens
Author: Okechukwu J. Obulezi [aut, cre]
Maintainer: Okechukwu J. Obulezi <oj.obulezi at unizik.edu.ng>
License: GPL-3
NeedsCompilation: no
CRAN checks: DropCens results

Documentation:

Reference manual: DropCens.html , DropCens.pdf

Downloads:

Package source: DropCens_0.1.0.tar.gz
Windows binaries: r-devel: DropCens_0.1.0.zip, r-release: DropCens_0.1.0.zip, r-oldrel: DropCens_0.1.0.zip
macOS binaries: r-release (arm64): DropCens_0.1.0.tgz, r-oldrel (arm64): DropCens_0.1.0.tgz, r-release (x86_64): DropCens_0.1.0.tgz, r-oldrel (x86_64): DropCens_0.1.0.tgz

Linking:

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