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Implements simulation, numerical maximum likelihood estimation via fourth-order Runge-Kutta path optimization, and high-speed Bayesian Markov Chain Monte Carlo (MCMC) samplers for Weibull lifetimes under progressive censoring setups with competitive latent risks. Both point estimation and interval estimation are provided for the model parameters.
| Version: | 0.1.1 |
| Imports: | graphics, Rcpp (≥ 1.0.0), stats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2026-07-30 |
| DOI: | 10.32614/CRAN.package.pcsclr |
| Author: | Okechukwu J. Obulezi [aut, cre] |
| Maintainer: | Okechukwu J. Obulezi <oj.obulezi at unizik.edu.ng> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | pcsclr results |
| Reference manual: | pcsclr.html , pcsclr.pdf |
| Package source: | pcsclr_0.1.1.tar.gz |
| Windows binaries: | r-devel: pcsclr_0.1.1.zip, r-release: pcsclr_0.1.1.zip, r-oldrel: pcsclr_0.1.1.zip |
| macOS binaries: | r-release (arm64): pcsclr_0.1.1.tgz, r-oldrel (arm64): pcsclr_0.1.1.tgz, r-release (x86_64): pcsclr_0.1.1.tgz, r-oldrel (x86_64): pcsclr_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.