NEWS.md

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

likelihood.model 1.0.0

Breaking Changes

• Removed likelihood_contr_model (R6 contribution-based model builder). This functionality has been extracted to the new likelihood.contr package.
• Removed likelihood_name() (named distribution wrapper). Use likelihood.contr::contr_name() instead.
• Removed weibull_uncensored / likelihood_exact_weibull (Weibull example model). Use likelihood.contr for Weibull likelihood contributions.
• Removed observed_info() generic (was deprecated in v0.10.0). Use -hess_loglik(model)(df, par) or observed_fim() on MLE results.
• Dropped R6 from Imports (no longer needed).
• mvtnorm moved to Suggests (only needed for multivariate sampler()).
• Dropped dplyr and tibble from Suggests.

Notes

• The core framework (loglik, score, hess_loglik, fim, fit, Fisherian inference, lrt, fisher_mle, fisher_boot) is unchanged.
• exponential_lifetime remains as the reference implementation.
• For contribution-based models with heterogeneous observation types, use the likelihood.contr package.

likelihood.model 0.10.0

Breaking Changes

• observed_info() is deprecated; use -hess_loglik(model)(df, par) or observed_fim() on MLE results
• likelihood_exact_weibull() is deprecated in favor of weibull_uncensored()
• Unrecognized censoring values in loglik.likelihood_name_model() now error instead of warning (silently returning 0 produced incorrect MLEs during optimization)
• Removed redundant R6 instance methods $loglik(), $score(), $hess_loglik() from likelihood_contr_model; use the S3 generics loglik(model), score(model), hess_loglik(model) instead
• mvtnorm moved from Imports to Suggests (only needed for multivariate sampler())

Bug Fixes

• Fixed fim.likelihood_model() Monte Carlo estimator: replaced biased outer-product-of-scores with negative expected Hessian approach, which is unbiased at any parameter value
• Fixed fim.likelihood_model() not forwarding ... to hess_loglik, and added NaN/Inf guard to prevent silent corruption of FIM estimates
• Fixed ... not forwarded in likelihood_contr_model numerical fallback for score and hess_loglik
• Fixed parent.frame() in likelihood_contr_model$new() capturing R6 internals instead of the caller's environment
• Fixed sampler.likelihood_model() ... scoping bug in bootstrap statistic function
• Added optimizer-friendly boundary guards to weibull_uncensored: loglik returns penalty, score/hess_loglik return zeros for invalid parameters (k <= 0 or l <= 0)
• Added input validation in loglik.likelihood_name_model(): errors with a clear message when ob_col is missing from the data frame

New Features

• New rdata.weibull_uncensored() method for generating Weibull data from the model's DGP
• bias.fisher_mle() now supports optional Monte Carlo bias estimation when theta and model are provided; returns zeros (asymptotic result) otherwise
• mse.fisher_mle() now forwards model and n_sim to bias() for MC-based MSE
• likelihood_contr_model$new() gains envir parameter controlling where loglik.<type>, score.<type>, and hess_loglik.<type> are looked up
• fim.likelihood_model() now adds parameter names to the output matrix when theta is named, and includes tryCatch with informative warnings on partial failures
• evidence() is now an S3 generic, extensible by model classes
• lrt() returns a proper lrt_result class with a print method
• New loglik.likelihood_model and rdata.likelihood_model default methods provide clear error messages when a model class doesn't implement the required concept methods

likelihood.model 0.9.1

New Features

• Added interval censoring support to likelihood_name() via ob_col_upper parameter
• Input validation in likelihood_name() constructor: checks that distribution functions exist
• Parameter count validation in prepare_args_list() with clear error messages
• Warning on unrecognized censoring values (e.g., typos like "righ")
• Auto-switch from Nelder-Mead to BFGS for 1-dimensional optimization
• New Fisherian inference functions: support(), relative_likelihood(), likelihood_interval(), profile_loglik(), evidence()
• New exponential_lifetime model with closed-form MLE and right-censoring support
• New fisher_mle and fisher_boot result objects with full S3 method suite

Bug Fixes

• Fixed rowSums error in likelihood_contr_model score for single-parameter models
• Fixed print.likelihood_model crash when ob_col is NULL (e.g., for contr models)

algebraic.mle Integration

• New re-exported generics from algebraic.mle: params(), nparams(), observed_fim(), obs(), mse()
• Methods for fisher_mle objects provide a unified interface across the likelihood ecosystem

Documentation

• New algebraic-mle-integration vignette demonstrating the three-package ecosystem (likelihood.model + algebraic.mle + algebraic.dist)
• Expanded likelihood-name-model vignette: left-censoring, interval censoring, mixed types, Fisherian inference, multiple distributions
• Expanded likelihood-contributions vignette: Case 2 inference, single-parameter example, best practices, interpretive prose for computed results
• New getting-started vignette with comprehensive introduction
• New exponential-lifetime vignette

likelihood.model 0.9.0

• Initial public release with likelihood_name(), likelihood_contr_model, and weibull_uncensored

likelihood.model documentation built on March 19, 2026, 9:07 a.m.