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.

Install the latest version of this package by entering the following in R:
install.packages("SPIGA")
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

View on CRAN

Files

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