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.

Version: 1.0.0
Depends: GA
Published: 2016-06-16
Author: Iván Ayala-Bizarro [aut, cre], Jessica Zúñiga-Mendoza [aut]
Maintainer: Iván Ayala-Bizarro <ivan.ayala at unh.edu.pe>
License: GPL-2
NeedsCompilation: no
CRAN checks: SPIGA results


Reference manual: SPIGA.pdf


Package source: SPIGA_1.0.0.tar.gz
Windows binaries: r-devel: SPIGA_1.0.0.zip, r-release: SPIGA_1.0.0.zip, r-oldrel: SPIGA_1.0.0.zip
macOS binaries: r-release (arm64): SPIGA_1.0.0.tgz, r-oldrel (arm64): SPIGA_1.0.0.tgz, r-release (x86_64): SPIGA_1.0.0.tgz, r-oldrel (x86_64): SPIGA_1.0.0.tgz


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