Package: SPIGA 1.0.0

Iván Ayala-Bizarro

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.

Authors:Iván Ayala-Bizarro [aut, cre], Jessica Zúñiga-Mendoza [aut]

SPIGA_1.0.0.tar.gz
SPIGA_1.0.0.tar.gz(r-4.5-noble)SPIGA_1.0.0.tar.gz(r-4.4-noble)
SPIGA_1.0.0.tgz(r-4.4-emscripten)SPIGA_1.0.0.tgz(r-4.3-emscripten)
SPIGA.pdf |SPIGA.html
SPIGA/json (API)

# Install 'SPIGA' in R:
install.packages('SPIGA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Pm_Pisco - The data set for illustratrating the functions of the SPIGA package
  • alphaGA_SPI3 - The data set for illustratrating the functions of the SPIGA package
  • betaGA_SPI3 - The data set for illustratrating the functions of the SPIGA package

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 97 downloads 12 exports 8 dependencies

Last updated 9 years agofrom:7d261e127d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 23 2024
R-4.5-linuxOKDec 23 2024

Exports:alphaBetaMVcalcSPIdistEmpiricfitnessGammamatrizToSerieplotSerieStandartSPIFromParametersSPIGASPIMLsumaMovilessumaMovilesSerietestNS

Dependencies:clicodetoolscrayonforeachGAiteratorsRcppRcppArmadillo