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likelihood.model: Likelihood-Based Statistical Inference in the Fisherian Tradition

Facilitates building likelihood models in the Fisherian tradition following Richard Royall (1997, ISBN:978-0412044113) "Statistical Evidence: A Likelihood Paradigm". Defines generic methods for working with likelihoods (loglik(), score(), hess_loglik(), fim()) and provides functions for pure likelihood-based inference (support(), relative_likelihood(), likelihood_interval(), profile_loglik()). Includes a likelihood contributions model for heterogeneous observation types (exact, censored, etc.) assuming i.i.d. data.

Version: 0.9.1
Imports: algebraic.mle, mvtnorm, generics, stats, numDeriv, boot, R6
Suggests: algebraic.dist, rmarkdown, dplyr, knitr, tibble, testthat (≥ 3.0.0)
Published: 2026-02-11
DOI: 10.32614/CRAN.package.likelihood.model
Author: Alexander Towell ORCID iD [aut, cre]
Maintainer: Alexander Towell <lex at metafunctor.com>
BugReports: https://github.com/queelius/likelihood.model/issues
License: MIT + file LICENSE
URL: https://github.com/queelius/likelihood.model, https://queelius.github.io/likelihood.model/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: likelihood.model results

Documentation:

Reference manual: likelihood.model.html , likelihood.model.pdf
Vignettes: Integration with algebraic.mle and algebraic.dist (source, R code)
Exponential Lifetime Model (source, R code)
Getting Started with likelihood.model (source, R code)
Likelihood contributions model (source, R code)
Likelihood Named Distributions Model (source, R code)

Downloads:

Package source: likelihood.model_0.9.1.tar.gz
Windows binaries: r-devel: likelihood.model_0.9.1.zip, r-release: likelihood.model_0.9.1.zip, r-oldrel: likelihood.model_0.9.1.zip
macOS binaries: r-release (arm64): likelihood.model_0.9.1.tgz, r-oldrel (arm64): likelihood.model_0.9.1.tgz, r-release (x86_64): likelihood.model_0.9.1.tgz, r-oldrel (x86_64): likelihood.model_0.9.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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