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 |
| 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: DRLAP2_0.1.1.zip, r-release: DRLAP2_0.1.1.zip, r-oldrel: DRLAP2_0.1.1.zip |
| macOS binaries: | r-release (arm64): DRLAP2_0.1.1.tgz, r-oldrel (arm64): DRLAP2_0.1.1.tgz, r-release (x86_64): DRLAP2_0.1.1.tgz, r-oldrel (x86_64): DRLAP2_0.1.1.tgz |
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