Title: Particle Swarm Optimisation, with Focus on Environmental Models
Author: Mauricio Zambrano-Bigiarini [aut, cre],
Description: State-of-the-art version of the Particle Swarm Optimisation (PSO) algorithm (SPSO-2011 and SPSO-2007 capable). hydroPSO can be used as a replacement of the 'optim' R function for (global) optimization of non-smooth and non-linear functions. However, the main focus of hydroPSO is the calibration of environmental and other real-world models that need to be executed from the system console. hydroPSO is model-independent, allowing the user to easily interface any computer simulation model with the calibration engine (PSO). hydroPSO  communicates with the model through the model's own input and output files, without requiring access to the model's source code. Several PSO variants and controlling options are included to fine-tune the performance of the calibration engine to different calibration problems. An advanced sensitivity analysis function together with user-friendly plotting summaries facilitate the interpretation and assessment of the calibration results. hydroPSO is parallel-capable, to alleviate the computational burden of complex models with "long" execution time. Bugs reports/comments/questions are very welcomed (in English, Spanish or Italian). See Zambrano-Bigiarini and Rojas (2013) <doi:10.1016/j.envsoft.2013.01.004> for more details.
Imports: grDevices, graphics, stats, utils, Hmisc, sp, lattice, zoo(>=

Authors@R: c(person("Mauricio", "Zambrano-Bigiarini", email="mzb.devel@gmail.com", role=c("aut","cre"), comment=c(ORCID = "0000-0002-9536-643X")), person("Rodrigo", "Rojas", email="Rodrigo.RojasMujica@gmail.com", role=c("ctb")) )
Imports: methods, grDevices, graphics, stats, utils, Hmisc, sp,
lattice, zoo(>= 1.7-2), grid, lhs, hydroTSM(>= 0.3-6),
hydroGOF(>= 0.3-5), parallel, vioplot, scatterplot3d,

Title: Time series management, analysis and interpolation for
Description: S3 functions for management, analysis, interpolation and
plot of hydrological time series, mainly oriented to
hydrological modelling tasks. So far, it only works with daily
/ monthly / seasonal / annual time series. The focus of this
package has been put in providing a collection of tools useful
for the daily work of hydrologists (although an effort was made
to optimize each function as much as possible, functionality
has had priority over speed). Bugs / comments / questions /
collaboration of any kind are very welcomed, and in particular,
datasets that can be included in this package for academic
Depends: R (>= 2.8.0), zoo, gstat, automap
Suggests: sp, maptools, e1071, rgdal, lattice