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

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Authors: Alexander Towell
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Statistical Methods and Bayesian Inference Statistical Distribution Estimation and Applications Data Analysis with R

Publication details

Publication date
11 February 2026
Language
EN
Document type
Dataset