SPIGA: Compute SPI Index using the Methods Genetic Algorithm and Maximum Likelihood

Calculate the Standardized Precipitation Index (SPI) for monitoring drought, using Artificial Intelligence techniques (SPIGA) and traditional numerical technique Maximum Likelihood (SPIML). For more information see: http://drought.unl.edu/monitoringtools/downloadablespiprogram.aspx.

AuthorIván Ayala-Bizarro [aut, cre], Jessica Zúñiga-Mendoza [aut]
Date of publication2016-06-16 18:26:21
MaintainerIván Ayala-Bizarro <ivan.ayala@unh.edu.pe>
LicenseGPL-2
Version1.0.0

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Files

SPIGA
SPIGA/NAMESPACE
SPIGA/data
SPIGA/data/Pm_Pisco.txt.gz
SPIGA/data/alphaGA_SPI3.txt.gz
SPIGA/data/betaGA_SPI3.txt.gz
SPIGA/R
SPIGA/R/SPIML.R SPIGA/R/SPIGA.R SPIGA/R/SPIGA_TOOL.R SPIGA/R/SPIFromParameters.R
SPIGA/MD5
SPIGA/DESCRIPTION
SPIGA/man
SPIGA/man/SPIFromParameters.Rd SPIGA/man/SPIGA.Rd SPIGA/man/SPIdataset.Rd SPIGA/man/SPImethods.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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