Implements Maximum Likelihood Estimation (MLE) and Bayesian Markov Chain Monte Carlo (MCMC) sampling algorithms for progressive censoring models, with support for dynamic reinforcement learning environment simulation and accelerated computational routines written in C++.
| Version: | 0.1.1 |
| Imports: | Rcpp, stats |
| LinkingTo: | Rcpp |
| Published: | 2026-08-25 |
| DOI: | 10.32614/CRAN.package.DRLAP2 (may not be active yet) |
| Author: | Okechukwu J. Obulezi [aut, cre] |
| Maintainer: | Okechukwu J. Obulezi <oj.obulezi at unizik.edu.ng> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | DRLAP2 results |
| Reference manual: | DRLAP2.html , DRLAP2.pdf |
| Package source: | DRLAP2_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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