Package: compositional.mle
Type: Package
Title: Compositional Maximum Likelihood Estimation
Version: 2.0.0
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: 2026-03-17 18:03:23 UTC; spinoza
Author: Alexander Towell [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-6443-9897>)
Maintainer: Alexander Towell <queelius@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-19 05:00:16 UTC
Built: R 4.6.0; ; 2026-04-27 08:21:33 UTC; unix
