NEWS

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footBayes 2.1.0

• Add Dixon-Coles model ("dixon_coles") in mle_foot() with low-score dependence adjustment (rho parameter) following Dixon and Coles (1997).
• Add static Negative Binomial model ("neg_bin") in mle_foot() with NB2 parameterization and separate home/away overdispersion parameters.
• Refactor MLE prediction logic: extract simulate_goals_mle() utility into utils_foot.R.
• Update foot_prob() to support "dixon_coles" and "neg_bin" MLE predictions.
• Update foot_abilities() documentation to reflect all six supported MLE models.
• Refactor profile likelihood and Wald confidence interval computation in mle_foot() to dynamically handle model-specific extra parameters.
• Fix AIC/BIC computation in mle_foot() to count only effective parameters per model.
• Fix foot_prob() referencing object$home instead of object$home_effect for MLE models.
• Updated vignette and documentation.

footBayes 2.0.1

• Updated vignette.
• Correct typo in foot_compare() description.
• Correct typo in pp_foot() description.

footBayes 2.0.0 (2025-05-16)

• Migration from rstan interface to CmdStanR interface.
• Add support for the VI, pathfinder and laplace algorithms.
• Add pre-compiled CmdStan models using the package instantiate.
• Add AIC and BIC output elements in mle_foot().
• Add Bayesian static/dynamic Negative Binomial model in stan_foot().
• Minor ggplot2 edits on foot_rank(), foot_abilities() and pp_foot().
• Updated vignette.

footBayes 1.0.0 (2025-01-09)

• Bradley-Terry model for abilities.
• Dynamic ranking in the models.
• Updated vignette.
• Probabilistic predictive performance (pseudo-R squared, Brier score, etc.).

footBayes 0.2.0 (2023-08-31)

• Inclusion of diagonal-inflated bivariate Poisson and zero-inflated Skellam models.
• Minor edits and drop engsoccerdata dependence.
• Updated vignette.

footBayes 0.1.0 (2022-02-21)

• First submission to CRAN.