Package: compositional.mle
Type: Package
Title: Compositional Maximum Likelihood Estimation
Version: 2.0.1
Authors@R: 
    person("Alexander", "Towell", , "queelius@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-6443-9897"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
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
URL: https://github.com/queelius/compositional.mle,
        https://queelius.github.io/compositional.mle/
BugReports: https://github.com/queelius/compositional.mle/issues
VignetteBuilder: knitr
Config/testthat/edition: 3
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-10-28 19:27:38 UTC; root
Author: Alexander Towell [aut, cre] (ORCID:
        <https://orcid.org/0000-0001-6443-9897>)
Maintainer: Alexander Towell <queelius@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-28 09:51:30 UTC
RemoteUrl: https://github.com/cran/compositional.mle
RemoteRef: HEAD
RemoteSha: 451bbe5fbdd05fe17e747d715e7e30059d167c6a