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 (may not be active yet) |
| 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: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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