Progressive Censoring Schemes with Competitive Latent-Risk R package pcsclr version 0.1.1 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. Software Imports: graphics, Rcpp (>= 1.0.0), stats LinkingTo: Rcpp, RcppArmadillo Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng> Comprehensive R Archive Network (CRAN) Okechukwu J. Obulezi [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=pcsclr/LICENSE) 2026-07-30 application/tgz https://CRAN.R-project.org/package=pcsclr doi:10.32614/CRAN.package.pcsclr