man-roxygen/loo-and-compare-references.R

In stan-dev/loo: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models

#' @references
#' Vehtari, A., Gelman, A., and Gabry, J. (2017). Practical Bayesian model
#' evaluation using leave-one-out cross-validation and WAIC.
#' *Statistics and Computing*. 27(5), 1413--1432. doi:10.1007/s11222-016-9696-4
#' ([journal version](https://link.springer.com/article/10.1007/s11222-016-9696-4),
#'  [preprint arXiv:1507.04544](https://arxiv.org/abs/1507.04544)).
#'
#' Vehtari, A., Simpson, D., Gelman, A., Yao, Y., and Gabry, J. (2024).
#' Pareto smoothed importance sampling. *Journal of Machine Learning Research*,
#' 25(72):1-58.
#' [PDF](https://jmlr.org/papers/v25/19-556.html)
#'
#' Sivula, T, Magnusson, M., Matamoros A. A., and Vehtari, A. (2022).
#' Uncertainty in Bayesian leave-one-out cross-validation based model
#' comparison. [preprint arXiv:2008.10296v3.](https://arxiv.org/abs/2008.10296v3).
#' 
#' McLatchie, Y., and Vehtari, A. (2023).  Efficient estimation and
#' correction of selection-induced bias with order statistics.
#' [preprint arXiv:2309.03742](https://arxiv.org/abs/2309.03742)