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Weather indices are formed from weather variables in this package. The users can input any number of weather variables recorded over any number of weeks. This package has no restriction on the number of weeks and weather variables to be taken as input.The details of the method can be seen (i)'Joint effects of weather variables on rice yields' by R. Agrawal, R. C. Jain and M. P. Jha in Mausam, vol. 34, pp. 189-194, 1983,<doi:10.54302/mausam.v34i2.2392>,(ii)'Improved weather indices based Bayesian regression model for forecasting crop yield' by M. Yeasin, K. N. Singh, A. Lama and B. Gurung in Mausam, vol. 72, pp.879-886, 2021,<doi:10.54302/mausam.v72i4.670>.
| Version: | 0.1.0 |
| Imports: | Hmisc, gtools |
| Published: | 2022-08-26 |
| Author: | Achal Lama [aut, cre], Kamlesh N Singh [aut], Bishal Gurung [aut] |
| Maintainer: | Achal Lama <achal.lama at icar.gov.in> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | AutoWeatherIndices results |
| Reference manual: | AutoWeatherIndices.pdf |
| Package source: | AutoWeatherIndices_0.1.0.tar.gz |
| Windows binaries: | r-devel: AutoWeatherIndices_0.1.0.zip, r-release: AutoWeatherIndices_0.1.0.zip, r-oldrel: AutoWeatherIndices_0.1.0.zip |
| macOS binaries: | r-release (arm64): AutoWeatherIndices_0.1.0.tgz, r-oldrel (arm64): AutoWeatherIndices_0.1.0.tgz, r-release (x86_64): AutoWeatherIndices_0.1.0.tgz, r-oldrel (x86_64): AutoWeatherIndices_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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