Dear all, After two years the new version of `hydroGOF` (v0.7-0) was released on May 1st 2026, and it is available on CRAN now ( https://cran.r-project.org/package=hydroGOF).
Among the **new features** included in this version, the following stand out: * New graphical logo. * New webpage (https://hzambran.github.io/hydroGOF), created with pkgdown. * Package tested against R version 4.6.0 (2026-04-24) -- "Because it was There", following an imperative request made by CRAN. * The package DOI was changed from the one given by Zotero to the new DOI given by CRAN (https://doi.org/10.32614/CRAN.package.hydroGOF) in June 2024. * Improved documentation of some functions (e.g., sKGE, KGEkm, pfactor, rfactor) * New functions: o PMR: to compute the Proxy for Model Robustness to quantify the temporal stability of model bias, proposed by Royer-Gaspard et al. (2021). o JDKGE: to compute the Joint Divergence Kling-Gupta Efficiency, which extends the traditional Kling-Gupta efficiency by incorporating a fourth diagnostic component that evaluates the similarity between the probability distributions of simulated and observed values, proposed by Ficchi et al. (2026). o LME: to compute the Liu-Mean Efficiency, which evaluates how large the error is compared to the average level of the observations, making it particularly useful in hydrological applications where the mean value is a meaningful scale for evaluating prediction accuracy. o LCE: to compute the Lee and Choi Efficiency, which jointly assess the correlation, variability, and bias component of the error, while explicitly penalizing imbalances between correlation and variability through two complementary terms (r x Alpha and r/Alpha). o HFB: to compute the median annual high-flows bias, focused on high flows. This function was completely re-formulated with respect to version 0.6-0.1, in order to make it more compatible with APFB and PBIAS, with an optimum value in 0 and not in 1. * Several enhancements and bugfixes ( https://cran.r-project.org/web/packages/hydroGOF/news/news.html), mostly related to temporal aggregation functions I hope you enjoy it !. Mauricio Zambrano-Bigiarini, PhD Associate Professor, Universidad de La Frontera Associate Researcher, (CR)2 FONDAP Center Phone: +56 45 259 2812 <+56+45+259+2812> e-mail: [email protected] [image: webpage] <https://hzambran.github.io/> [image: ORCID] <https://orcid.org/0000-0002-9536-643X> [image: Github] <https://github.com/hzambran> [image: Linkedin] <http://www.linkedin.com/in/hzambran/> [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
