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cff-version: 1.2.0
message: 'To cite package "compositional.mle" in publications use:'
type: software
license: MIT
title: 'compositional.mle: Compositional Maximum Likelihood Estimation'
version: 2.0.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.compositional.mle
abstract: 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" <https://doi.org/10.1007/978-0-387-40065-5>.
authors:
- family-names: Towell
  given-names: Alexander
  email: queelius@gmail.com
  orcid: https://orcid.org/0000-0001-6443-9897
preferred-citation:
  type: manual
  title: 'compositional.mle: Compositional Maximum Likelihood Estimation'
  authors:
  - family-names: Towell
    given-names: Alexander
    email: queelius@gmail.com
    orcid: https://orcid.org/0000-0001-6443-9897
  year: '2026'
  notes: R package version 1.0.0
  url: https://github.com/queelius/compositional.mle
repository: https://queelius.r-universe.dev
repository-code: https://github.com/queelius/compositional.mle
commit: 8f5fa087a6d45d5855c411571136b537c334e089
url: https://queelius.github.io/compositional.mle/
date-released: '2026-03-17'
contact:
- family-names: Towell
  given-names: Alexander
  email: queelius@gmail.com
  orcid: https://orcid.org/0000-0001-6443-9897