Dynamic Reinforcement Learning and Adaptive Progressive Censoring R package DRLAP2 version 0.1.1 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++. Software Imports: Rcpp, stats LinkingTo: Rcpp Okechukwu J. Obulezi <oj.obulezi@unizik.edu.ng> Comprehensive R Archive Network (CRAN) Okechukwu J. Obulezi [aut, cre] GPL (>= 3) 2026-08-25 application/tgz https://CRAN.R-project.org/package=DRLAP2 doi:10.32614/CRAN.package.DRLAP2