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

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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.

Author
Iván Ayala-Bizarro [aut, cre], Jessica Zúñiga-Mendoza [aut]
Date of publication
2016-06-16 18:26:21
Maintainer
Iván Ayala-Bizarro <ivan.ayala@unh.edu.pe>
License
GPL-2
Version
1.0.0

View on CRAN

Man pages

SPIdataset
The data set for illustratrating the functions of the SPIGA...
SPIFromParameters
Calculation of standardized precipitation index from alpha...
SPIGA
Calculation of Standardized Precipitation Index, using the...
SPImethods
Generic methods for 'SPIGA' objects.

Files in this package

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