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 |
| DOI: | 10.32614/CRAN.package.SPIGA |
| 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 [issues need fixing before 2026-03-25] |
| Reference manual: | SPIGA.html , 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 |
Please use the canonical form https://CRAN.R-project.org/package=SPIGA to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.