Package: algebraic.mle
Type: Package
Title: Algebraic Maximum Likelihood Estimators
Version: 2.0.2
Authors@R: 
    person("Alexander", "Towell", , "lex@metafunctor.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6443-9897"))
Description: The maximum likelihood estimator (MLE) is a technology: under
    regularity conditions, any MLE is asymptotically normal with variance given
    by the inverse Fisher information. This package exploits that structure by
    defining an algebra over MLEs. Compose independent estimators into joint
    MLEs via block-diagonal covariance ('joint'), optimally combine repeated
    estimates via inverse-variance weighting ('combine'), propagate
    transformations via the delta method ('rmap'), and bridge to distribution
    algebra via conversion to normal or multivariate normal objects ('as_dist').
    Supports asymptotic ('mle', 'mle_numerical') and bootstrap ('mle_boot')
    estimators with a unified interface for inference: confidence intervals,
    standard errors, AIC, Fisher information, and predictive intervals.
    For background on maximum likelihood estimation, see Casella and Berger
    (2002, ISBN:978-0534243128). For the delta method and variance estimation,
    see Lehmann and Casella (1998, ISBN:978-0387985022).
License: GPL (>= 3)
Encoding: UTF-8
ByteCompile: true
Imports: algebraic.dist (>= 0.9.1), stats, boot, mvtnorm, MASS,
        numDeriv
RoxygenNote: 7.3.3
URL: https://github.com/queelius/algebraic.mle,
        https://queelius.github.io/algebraic.mle/
BugReports: https://github.com/queelius/algebraic.mle/issues
Suggests: testthat (>= 3.0.0), rmarkdown, knitr, ggplot2, tibble, CDFt
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-03-17 17:49:30 UTC; spinoza
Author: Alexander Towell [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-6443-9897>)
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-03-19 05:00:23 UTC
Built: R 4.6.0; ; 2026-04-25 23:36:31 UTC; unix
