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SPIGA  

Compute SPI Index using the Methods Genetic Algorithm and Maximum Likelihood
View on CRAN: Click here


Download and install SPIGA package within the R console
Install from CRAN:
install.packages("SPIGA")

Install from Github:
library("remotes")
install_github("cran/SPIGA")

Install by package version:
library("remotes")
install_version("SPIGA", "1.0.0")



Attach the package and use:
library("SPIGA")
Maintained by
Iván Ayala-Bizarro
[Scholar Profile | Author Map]
First Published: 2016-06-16
Latest Update: 2016-06-16
Description:
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.
How to cite:
Iván Ayala-Bizarro (2016). SPIGA: Compute SPI Index using the Methods Genetic Algorithm and Maximum Likelihood. R package version 1.0.0, https://cran.r-project.org/web/packages/SPIGA. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited SPIGA R package
View SPIGA citation profile
Other R packages that SPIGA depends, imports, suggests or enhances
Complete documentation for SPIGA
Functions, R codes and Examples using the SPIGA R package
Some associated functions: SPIFromParameters . SPIGA . SPIdataset . SPImethods . 
Some associated R codes: SPIFromParameters.R . SPIGA.R . SPIGA_TOOL.R . SPIML.R .  Full SPIGA package functions and examples
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