[R] [R-pkgs] new package: hydroPSO 0.1-54-1

[Mauricio Zambrano-Bigiarini]

Dear R and hydrological/environmental community,

I would like to draw your attention to hydroPSO, a newly developed R 
package for the calibration/optimisation of (complex) environmental models.

hydroPSO implements a state-of-the-art Particle Swarm Optimisation (PSO) 
algorithm, which is a global optimisation technique with a surge of 
attention given its flexibility, ease of implementation and efficiency.

Key features of hydroPSO are:

1) Model-independent calibration engine
2) Minimal user intervention to define I/O functions for interfacing 
hydroPSO with the model code
3) Several fine-tuning options to customise the calibration engine (for 
advanced PSO users)
4) Sensitivity analysis included, using the Latin Hypercube 
One-factor-At-a-Time (LH-OAT)
5) Several functions for post-processing of the calibration results


hydroPSO is already available on CRAN:

http://cran.r-project.org/web/packages/hydroPSO/


you can install it with:

 > install.packages("hydroPSO")

This package includes a vignette (tutorial) showing how to calibrate 
SWAT-2005 (http://swatmodel.tamu.edu/software/swat-model/) and 
MODFLOW-2005 
(http://water.usgs.gov/nrp/gwsoftware/modflow2005/modflow2005.html) for 
real-world case studies.

You can download the vignette and all the files required to follow the 
two case studies from:

http://www.rforge.net/hydroPSO/


For assistance/bugs report/comments contact/collaboration do not 
hesitate to contact the authors:

Mauricio Zambrano-Bigiarini <mzb.devel [at] gmail.com>
Rodrigo Rojas               <Rodrigo.RojasMujica [at] gmail.com>


Kind regards,

Mauricio Zambrano-Bigiarini, PhD

-- 
====================================================
Water Resources Unit
Institute for Environment and Sustainability (IES)
Joint Research Centre (JRC), European Commission
webinfo    : http://floods.jrc.ec.europa.eu/
====================================================
DISCLAIMER:\ "The views expressed are purely those of th...{{dropped:7}}