compositional.mle: Compositional Maximum Likelihood Estimation
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>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5.0), algebraic.mle |
| Imports: | MASS, numDeriv |
| Suggests: | rmarkdown, dplyr, knitr, ggplot2, tibble, testthat (≥ 3.0.0), cli, future, hypothesize |
| Published: | 2026-02-09 |
| DOI: | 10.32614/CRAN.package.compositional.mle (may not be active yet) |
| Author: | Alexander Towell 
[aut, cre] |
| Maintainer: | Alexander Towell <queelius at gmail.com> |
| BugReports: | https://github.com/queelius/compositional.mle/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/queelius/compositional.mle, https://queelius.github.io/compositional.mle/ |
| NeedsCompilation: | no |
| Citation: | compositional.mle citation info |
| Materials: | README, NEWS |
| CRAN checks: | compositional.mle results |
Documentation:
Downloads:
| Package source: | compositional.mle_1.0.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): compositional.mle_1.0.2.tgz, r-oldrel (arm64): compositional.mle_1.0.2.tgz, r-release (x86_64): compositional.mle_1.0.2.tgz, r-oldrel (x86_64): not available |
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