Compositional Maximum Likelihood Estimation R package compositional.mle version 2.0.0 Provides composable optimization strategies for maximum likelihood estimation (MLE). Solvers are first-class functions that combine via sequential chaining, parallel racing, and random restarts. Implements gradient ascent, Newton-Raphson, quasi-Newton (BFGS), and derivative-free methods with support for constrained optimization and tracing. Returns 'mle' objects compatible with 'algebraic.mle' for downstream analysis. Methods based on Nocedal J, Wright SJ (2006) "Numerical Optimization" <doi:10.1007/978-0-387-40065-5>. Software Depends: R (>= 3.5.0), algebraic.mle (>= 2.0.0) Imports: MASS, numDeriv Suggests: rmarkdown, dplyr, knitr, ggplot2, tibble, testthat (>= 3.0.0), cli, future, hypothesize, likelihood.model Alexander Towell <queelius@gmail.com> Comprehensive R Archive Network (CRAN) Alexander Towell [aut, cre] (ORCID: <https://orcid.org/0000-0001-6443-9897>) MIT + file LICENSE (https://CRAN.R-project.org/package=compositional.mle/LICENSE) 2026-03-19 application/tgz https://CRAN.R-project.org/package=compositional.mle doi:10.32614/CRAN.package.compositional.mle