Package: pcsclr
Title: Progressive Censoring Schemes with Competitive Latent-Risk
Version: 0.1.1
Authors@R: person("Okechukwu J.", "Obulezi", email = "oj.obulezi@unizik.edu.ng", role = c("aut", "cre"))
Maintainer: Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng>
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, Rcpp (>= 1.0.0), stats
LinkingTo: Rcpp, RcppArmadillo
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-10-09 11:29:06 UTC; root
Author: Okechukwu J. Obulezi [aut, cre]
Repository: https://obulezi-oj.r-universe.dev
Date/Publication: 2026-07-30 18:54:11 UTC
RemoteUrl: https://github.com/cran/pcsclr
RemoteRef: HEAD
RemoteSha: 742ce4912c2bbf92179c02a80ef127a359eb260e