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
[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:
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