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