SPIGA: Compute SPI Index using the Methods Genetic Algorithm and Maximum Likelihood
Version 1.0.0

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.

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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
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("SPIGA")

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.

Functions

Pm_Pisco Man page
SPIFromParameters Man page Source code
SPIGA Man page Source code
SPIML Man page Source code
alphaBetaMV Man page Source code
alphaGA_SPI3 Man page
betaGA_SPI3 Man page
calcSPI Man page Source code
distEmpiric Man page Source code
fitnessGamma Man page Source code
matrizToSerie Man page Source code
plotSerieStandart Man page Source code
sumaMoviles Man page Source code
sumaMovilesSerie Man page Source code
testNS Man page Source code

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
SPIGA documentation built on May 19, 2017, 6:13 p.m.