R help - Jan 2024 - hydroGOF back on CRAN (v0.5-4 released)

Dear all,

After being archived on CRAN on  2023-10-16 , hydroGOF is finally back on
CRAN since January 21th: https://cran.r-project.org/package=hydroGOF.

This new version 0.5-4 includes:

*) the following new functions:

    -) KGElf (Garc?a et al., 2017),
    -) sKGE (Fowler et al., 2018),
    -) KGEnp (Pool et al., 2018),
    -) dr (Willmott et al., 2012),
    -) ubRMSE (Entekhabi et al., 2010),
    -) wNSE (Hundecha and Bardossy, 2004),
    -) rSpearman,
    -) R2

*) improvements: all the functions allow you to apply a user-defined
function (e.g., log, sqrt) to both 'sim' and 'obs' before
computing the
goodness-of-fit measure.

A detailed description of the previous changes can be found for the 0.5-0
version in the new News.md file:
https://cran.r-project.org/web/packages/hydroGOF/news/news.html

A much improved vignette illustrate the usage of some of the main functions:

*) Analysis of daily precipitation data:
https://cloud.r-project.org/web/packages/hydroGOF/vignettes/hydroGOF_Vignette.pdf

If you use this package, please cite it correctly as:

Zambrano-Bigiarini, Mauricio (2024). hydroGOF: Goodness-of-fit functions
for comparison of simulated and observed hydrological time series. R
package version 0.5-4. URL:https://cran.r-project.org/package=hydroGOF.
doi:10.5281/zenodo.839854.

Issues and enhancements can be requested on:
https://github.com/hzambran/hydroGOF/issues

All the best,

Mauricio


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: mauricio.zambrano at ufrontera.cl
[image: webpage] <http://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/>

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